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Introduction to CIS Summary Paper

Introduction to CIS Summary Paper Free Online Research Papers Introduction to CIS Summary Paper COMPUTERS are automatic and electronic systems used for processing data.Currently, they are used for many different kind of work: in offices, banks and schools (minicomputers), in large institutions like Universities and government departments (mainframe computers), and even at home (microcomputer).Computers are â€Å"devices† which accept information in the form of instructions called PROGRAM (a set of instructions telling the computer what operations and processes have to be carried out) and characters called DATA (particular information that have to be processed by the computer and that are kept in the MEMORY. Their information processing tasks are: storing, retrieving, sorting and selecting data, and perfoming calculations. Computer’s structure consists of HARDWARE (the pieces of equipment making up the computer) and SOFTWARE (information in the form of programs and data ). The most important hardware component is the CPU (Central Processing Unit), the electronic unit which contains the processor (the brain of the computer, processing information and controlling all other devices) and the main memory. Another hardware components are: the VDU or screen, which displaies everything you tape on the keyboard and the results of the computer ‘s work the printer, used for printing all information processed by the computer ; printers are of different types, sizes, working principles.. the keyboard, through which you give the computer instructions and information by typing on it; from each key, the computer receives different electrical messages. Like a typewriter, the keyboard has a layout known as QWERTY (these are the first six letters on the top left of it). the mouse, a small box with a ball underneath; when it is rolled in any direction on the desk, the cursor moves across the VDU in the same direction; also, it can be used to point the cursor at icons: special symbols on the screen wich represent the processes that can be carried out by the program. Keyboard, mouse, and also scanner, webcam, microphone are INPUT DEVICES (they give the results of the processed data or information). VDU, printer, and also speakers, modem, plotter, are OUTPUT DEVICES ( they introduce data or information on the computer). STORAGE DEVICES provide permanent storage for programs and data. Input devices, output devices and storage devices are included in the PERIPHERALS. Research Papers on Introduction to CIS Summary PaperRiordan Manufacturing Production PlanIncorporating Risk and Uncertainty Factor in CapitalOpen Architechture a white paperBionic Assembly System: A New Concept of SelfThe Project Managment Office SystemInfluences of Socio-Economic Status of Married MalesResearch Process Part OneMoral and Ethical Issues in Hiring New EmployeesThe Relationship Between Delinquency and Drug UseStandardized Testing

The Physician Hippocrates and Greek Medicine

The Physician Hippocrates and Greek Medicine Hippocrates, the father of medicine, may have lived from c. 460-377 B.C., a period covering the Age of Pericles and the Persian War. Like other details about Hippocrates, we really know very little beyond the fact that he is considered a great physician and was counted the greatest by the ancient Greeks. Born in Cos, site of an important temple of Asclepius, god of medicine, Hippocrates may have studied medicine with his father. He traveled around Greece training medical students that there are scientific reasons for ailments. Before him, medical conditions were attributed to divine intervention. Hippocrates maintained that all diseases have natural causes. He made diagnoses and prescribed simple treatments like diet, hygiene, and sleep. Hippocrates is the author of the saying Life is short, and the Art long (from his Aphorisms). The name Hippocrates is familiar because of the oath that doctors take (Hippocratic Oath) and a body of early medical treatises that are attributed to Hippocrates (Hippocratic corpus), which includes the Aphorisms. Hippocrates and Humoral Theory Quiz Hippocrates Medical Texts Hippocrates is on the list of Most Important People to Know in Ancient History. Also Known As: The Father of Medicine, the divine old man, Hippocrates of Cos Examples: Hippocrates of Cos isnt the mathematician Hippocrates of Chios. Go to Other Ancient / Classical History Glossary pages beginning with the letter a | b | c | d | e | f | g | h | i | j | k | l | m | n | o | p | q | r | s | t | u | v | wxyz

Charging Children as Adults Essay Example | Topics and Well Written Essays - 2000 words

Charging Children as Adults - Essay Example With matters dealing with criminal justice, the method is not much different. First, the issue has to be stated, then it is discussed, and conclusions are drawn. Where steps look like they may have been skipped, the research objectives are within the job description of solving crime, and methodology and data collection is done during the discussion of the issue if it has not been done already. The matter at hand for this discussion is that of charging children as adults for the crimes they commit. When children are charged as adults for crimes, it can leave a permanent mark on their record that they will never be able to outlive. It is believed by some that this method of criminal justice will serve as a warning to those who would otherwise do harm to others, saving untold numbers of people from harm and homicide. Others believe that the children who are sentenced to these kinds of charges are from states of disenfranchisement, with matters only made worse by the fact that where they once did not believe they would overcome their situations, they are now supported in their own conclusions, guaranteeing them a life of less opportunity than those who may commit the same crimes, but do not suffer the same consequences as a result of the advocacy they receive from their community. In conducting researching for issues in the criminal justice system, the two most common methods are quantitative and qualitative (Maxfield; Babbie, 23). Quantitative analysis is that which deals with concrete facts, or quantities.

Most feminists believe that the position of women in the labour market Essay

Most feminists believe that the position of women in the labour market is an important source of disadvantage - Essay Example Workplace segregation remains prevalent as high concentrations of female employees are associated with relatively low rates of pay. And higher levels of part-time working are associated with lower rates of pay, even after other factors have been taken into account. Qualified women are characteristically denied top level jobs in corporate but instead of terming it what it is, sexism and discrimination, this form of unequal treatment is referred to as the ‘glass ceiling’ effect. ‘Most feminists believe that the position of women in the labour market is an important source of disadvantage.’ Women do indeed have to perform twice as well as a man to retain the same pay and position at similar occupational arenas. This discussion will examine barriers to equality in the workplace, the reasons for this cultural phenomenon, evidence to support this claim and some possible solutions. Women must struggle to cope with discrimination in the workplace as is evidenced by occupational segregation. This terminology refers to the reality that women tend to work in different sectors of the economy and occupy different employment standings than men within the same occupational group. Government statistics reveal that women are highly concentrated in certain jobs and that 60 per cent of working women are employed in just 10 per cent of available occupations (â€Å"What is the Pay Gap?†, 2006). While about one-half of workers are in sex-dominated employment, women are engaged in a narrower scope of occupations than men. There are seven times more male-dominated non-agricultural jobs than female. ‘Sex-dominated’ occupations are defined as when workers of one sex constitute more than 80 per cent of the labour force (Anker, 1998). In the UK, women constitute just 30 per cent of managers, 25 per cent of executives and 10 per cent of company directors (EOC, 2 002 cited in â€Å"What is the Pay Gap?†).

Roles of an addiction counselor Essay Example for Free

Roles of an addiction counselor Essay An addiction counselor has many roles; counselor is only one of them. Others include interventionist, mediator, advocate, change agent, adviser, and facilitator (Lecture Module 4, 2013). While treating a client those roles are constantly changing and are necessary to help a client to overcome addiction. In addition the counselor must be able to maintain a balance of ethical, moral, and legal behavior while treating their clients. This may seem easy; however there are often blurred professional boundaries present that the counselor is forced to navigate flawlessly or risk upsetting the balance between helping and hurting their client. While an addiction counselor’s main goal is to improve the mental health and wellness of clients through a treatment plan the goals need to be based on the individual the counselor is working with; therefore each case must be individualized to meet the needs of the client. Individual therapy consists of working directly with an individual, an assortment of approaches are used in individual therapy. The approaches include harm reduction, coping skills training, life-skills training, motivational interviewing, cognitive-behavioral therapy, social skills training, and behavior therapy these approaches are included in the direct effect strategies as well as the broad spectrum strategies. The central component to these strategies is the client- counselor relationship also known as the therapeutic alliance. The counselor must be able to listen objectively to the client, they must be aware of their responses not only verbally but non-verbally as well. They must be able to validate the client through non-verbal communication as well as positive regard. The language the counselor uses must engender motivation toward change for the client. By moving away from negativity these strategies give the clients hope and breed independence which leads to abstinence. These strategies are imperative to the success of the client and the counselor is the facilitator of this. Individual therapy consists of creating an environment where lifestyle changes can begin, the therapeutic relationship is a partnership in which the counselor facilitates change with the client (Smith Stevens, 2013). When working in a group many of the same approaches are used; however a counselor must now be able to use the strategies in broad form to reach all of the members of the group. Groups are more focused on the here and now; because there is a time limit they must be able to stay focused in order to make progress. A group setting gives a client a bigger base of support; however the counselor must be able to provide culturally diverse guidance to all of the group’s members. This can often be challenging, so the group counselor should be a highly trained individual. A rapport must be established with the group so that trust can be built and cohesion will occur. The cohesion of the group takes precedence over the individual needs of clients (Smith Stevens, 2013). There may be times when a counselor acting as an advocate for the group must remove a member for the greater good of the group. Group development can be considered in terms of stages or phases; the group can become more complex and resourceful over time with sufficient leadership and member investment. It is also important to note that clients should receive pretreatment as an individual in order to prepare them to become productive members of a group and to receive maximum benefits from the process (Smith Stevens, 2013). Relational therapies involve individuals and intimate others in the group process to examine bonding and boundaries (Smith Stevens, 2013). This type of therapy group can help individuals, couples, and families avoid dynamics that contribute to replay of unfinished business or relapse. The role of the counselor is to create a therapeutic alliance through creating a safe and honest environment by which the client’s family can support each other. In this type of therapy each member of the group must be allowed to share their feelings to essentially cleanse the environment of past resentment and to start fresh. Families often avoid dealing with the problem of drug or alcohol abuse they would rather hide it than deal with it. The counselor must be able to root out the pattern of abuse so that the family can work to change it. This can be hard because the counselor must be careful about being overly critical of the client this could cause the family to turn on the counselor and become counterproductive. Addiction encompasses every aspect of the client’s life this includes their family, it is imperative to address the patterns that exist within the family not only to help the client but also to prevent future generations from having the same issues. There are many soft skills that a counselor must possess in order to be effective. One of the biggest is empathy; empathy requires that the counselor be able to feel how the client must feel and to communicate understanding in order to help the client move past the addiction. The counselor must show warmth by showing they care what happens to the client. Listening is paramount as well; the counselor should create an environment where the client wants to share their story. By doing this the counselor builds a trusting relationship where the client feels safe from judgment. The counselor must exhibit communication skills being able to redirect when necessary, verbal and non-verbal communication must be on point. The counselor must also be able to maintain a professional and ethical position with the client. The counselor must see the client as a human being worthy of help; accept the person not the behavior (Doyle-Pita, 2004). When all of these skills are employed to help a client the many roles a counselor must facilitate will be more easily navigated and the client will be more likely to achieve success.

OLD BLOOD AND GUTS Essay -- essays papers

OLD BLOOD AND GUTS General Patton was a devoted student of history, a poet, a humble man who was very unsure of his own abilities, a man who could bust into tears at any given moment, and could be charming or quite insulting all in the same hour. His reckless, outspoken manner gained him friends and enemies of equal determination. General Patton was not only extrovert of public perception but he also had an intensely private side. He was a man who trained himself for greatness with a determination matched by no other Allied General of World War Two. During the war, Patton led U.S. troops in Morocco, Tunisia, and Sicily, then took command of the Third Army, leading the troops through the German lines at Normandy to traverse France and eventually into the heart of Germany. His toughness on enemies as well as his own forces earned him the name â€Å"Old Blood and Guts.† General George Smith Patton’s leadership and tactics were the best of any Allied general of World War Two. Old Blood and Guts was born in 1885 in San Gabriel, California. He was a man who from a very early age knew he was destine for a life in the military as one can read in his journal â€Å" When I was a little boy at home I used to wear a wooden sword and say to myself: ‘George S. Patton, Jr., Lieutenant General’.†1 He followed his dreams and gained an educated at Virginia Military Institute and the U.S. Military Academy. On his graduation in 1909 Patton was commissioned a second lieutenant; he advanced in rank to full General by 1945. George Patton served as aide-de-camp to the American General John Joseph Pershing on Pershing’s expedition to Mexico in 1917. As a young lieutenant Patton was asked by General Pershing why he should be chosen to go on a dangerous mission The young, cocky Patton replied, â€Å"I want to go more than anyone else.†2 After making a name for himself early in his career, Patton earned a promotion; beginning the practice of many promotions to come. His experiences in Mexico prepared him for the soon to come war in Europe. In France during World War One Patton was offered a position as a tank core commander. In his journals, he wrote, â€Å"I will have to grow and grow a lot. But I will. Here is my chance.†3 soldier’s testimonies added to his reputation of being a tough commander. After a battle, he was quoted by some soldiers as saying â€Å"You are not bea... ... of solace, and the basis of practically every thing he did. Patton’s nephew wrote â€Å"The Bible was his companion and the church his refuge.†11 It was not uncommon to see General Patton weeping at the side of a dead or dying solider during his Army career. General George Smith Patton was a great American leader. His victories for America in Mexico, in World War One, and in World War Two proved his amazing leadership skills to the world. His bold, new tactics in France during World War Two are the basis of the modern military. Throughout his career, General Patton earned the respect of his men, his superiors, and the enemy. General George Smith Patton's leadership and tactics were the best of any Allied general of World War Two. WORKS CITED Blumenson Martin. Patton the man behind the legend. New York.:Berkly Publishing Company, 1984. Desto Carlo. Patton a genius for war. New York.: Harper Collins Company, 1995. Ladisias Fargo. Patton: Ordeal and Triumph. Chicago.: Ivan Obolengres company, 1981. Wallace Brenton. Patton and his Third Army. New York.: Battery Press, 1981. Blumenson Martin. The Patton Papers 1940-1945. Boston.: Houghton Muffin Company, 1974.

Comparative Net Sales of Flower Shops Business

Objectives 1. Determine the business profile variables 2. Identify the services and kind of flowers being offered and the months when the sale is highest and lowest 3. Compare and analyse the sales of flowers during the seasons when it is in demand and not 4. Identify the problems being encountered and factors affecting the sales 5. Prepare plan of action Questionnaire I. Profile Variables Name of Business: ___________________ Type of Business: _______sole proprietorship _______corporation _______partnership _______others Area of Business:_______along the public market ______other commercial area _______residential area _______others Number of workers:_______ 1 _______2 _______3 _______4 _______5 and above Years in Operation_______1-5 years _______6-10 years _______11-15 years _______16-20 years _______ above 20 years II. Product/ Goods Supplier_______within the province _______outside the province _______outside the country _______outside the province and outside the country _______ within and outside the province _______within the province and outside the country Flowers being Sold: (displayed at the time of survey) _______ Rose ________ Malaysian Mums ________ Angels’ Breath ________ Anthurium ________ Birds of Paradise ________ Tulips ________ Star Gazer Peak Seasons for flowers: __________________________________ Estimated Sales:_______below 10000 _______10000-29999 _______30000-49999 _______50000-69999 _______70000-89999 _______90000 and above Dormant Seasons for flowers: _______________________________ Estimated Sales per day:_______0 – 499 _______500 – 999 _______1000 – 1499 _______1500 – 1999 _______2000 and above Problems Encountered: Dormant SeasonsPeak SeasonsNeverSometimesAlwaysNeverSometimesAlways Dried flowers Pests Few customers Delayed deliveries of ordered flowers Unpaid balances of customers Too many competitors Burdensome taxes Lack of necessary equipment Lack of stocked flowers Natural calamities Strongly D isagreeDisagreeAgreeStrongly Agree It is better to sold flowers on Peak Seasons only Customers are seem satisfied in your services and flowers Total sales each day depends on the business’ luck Flowers are important part of an occasion Flowershop business is an in-demand business anytime Descriptive Survey PROFILE VARIABLESNumber ofYears of Name of BusinessType of BusinessArea of BusinessworkersExistenceSupplier's Place 1Amang's FlowershopSole Proprietorshippublic market125outside the province 2Leony's FlowershopSole Proprietorshippublic market320outside the province 3Emily's FlowershopSole Proprietorshippublic market320outside the province 4Ley's FlowershopSole Proprietorshippublic market330outside the province 5Heaven's TouchSole Proprietorshippublic market18outside the province 6Petal and BloomSole Proprietorshipother commercial area21outside the province 7Maycee's FlowershopSoleProprietorshipother commercial area115outside the province 8Highland FlowershopSole Proprietors hipother commercial area417outside the province 9BloomerySole Proprietorshipother commercial area210outside the province 10Kelsey's FlowershopSole Proprietorshipother commercial area220outside the province 11Kart's FlowershopSole Proprietorshipother commercial area31outside the province 12Vic's FlowershopSole Proprietorshipother commercial area22outside the province 13Flowers and GreensSole Proprietorshipother commercial area31outside the province and outside the country 14Flowers 911Sole Proprietorshipother commercial area21outside the province 15Flowershop by SylviaSole Proprietorshipother commercial area32outside the province 16Te AmoSole Proprietorshipother commercial area11outside the province 17Christhialyn's FlowershopSole Proprietorshipother commercial area425outside the province 18SunshineSole Proprietorshipresidential area110outside the province 19Money Changer FlowershopSole Proprietorshipother commercial area25outside the province 20Carissa's FlowershopSole Proprietorshi pother commercial area24outside the province 21BobzenSole Proprietorshipother commercial area215outside the province 22Bobzen – branchSole Proprietorshipother commercial area11outside the province 23Zenaida's FlowershopSole Proprietorshipother commercial area28outside the province 24Sally's FlowershopSole Proprietorshipother commercial area217outside the province and outside the country 25Doni's FlowershopSole Proprietorshipother commercial area115outside the province 26Yolly's FlowershopSole Proprietorshipother commercial area110outside the province 27Dionisia's FlowershopSole Proprietorshipother commercial area115outside the province 28Rita's FlowershopSole Proprietorshippublic market12outside the province 29JeunesseSole Proprietorshippublic market12outside the province 30Myra Grace's FlowershopSole Proprietorshipother commercial area23outside the province Flowers being sold 1rose, malaysian mums, anthurium, angel's breath 2rose, malaysian mums, anthurium, angel's breath 3r ose, malaysian mums, anthurium, angel's breath 4rose, malaysian mums, anthurium, angel's breath 5rose, malaysian mums, anthurium, angel's breath 6rose, malaysianmums, birds of paradise, star gazer, angel's breath, anthurium 7rose, malaysianmums, star gazer, angel's breath, anthurium 8rose, malaysianmums, birds of paradise, star gazer, angel's breath, anthurium 9rose, malaysianmums, angel's breath 0rose, malaysianmums, star gazer, angel's breath, anthurium 11rose, malaysianmums, star gazer, angel's breath, anthurium 12rose, malaysianmums, star gazer, angel's breath, anthurium 13rose, malaysianmums, birds of paradise, star gazer, angel's breath, anthurium, tulips 14rose, malaysian mums, anthurium, angel's breath 15rose, malaysian mums, anthurium, angel's breath 16rose, malaysian mums, birds of paradise angel's breath, 17rose, malaysian mums, anthurium, angel's breath 18rose, malaysian mums, angel's breath 19rose, malaysian mums, angel's breath 20rose, malaysian mums, anthurium, angel' s breath 21rose, malaysian mums, angel's breath, star gazer 22rose, malaysian mums, angel's breath 23rose, malaysian mums, angel's breath 24rose, malaysianmums, birds of paradise, star gazer, angel's breath, anthurium, tulips 25rose, malaysian mums, angel's breath 26rose, malaysian mums, angel's breath 27rose, malaysian mums, angel's breath 8rose, malaysianmums, birds of paradise, star gazer, angel's breath, anthurium, tulips 29rose, malaysian mums, anthurium, angel's breath 30rose, malaysian mums, anthurium, angel's breath Peak Seasons for flowersEstimated SalesDormant Seasons/ MonthsEstimated Sales Valentines Day, All Souls Day10000July, August1000 Valentines Day, All Souls Day50000June, July1500 Valentines Day, All Souls Day50000June, August2000 Valentines Day, All Souls Day30000June, July3000 Valentines Day, All Souls Day30000July, August1500 Valentines Day, All Souls Day30000July, August500 Valentines Day, All Souls Day30000August, September1000 Valentines Day, All Souls Day100 000June, July5000 Valentines Day, All Souls Day30000July, August1000 Valentines Day, All Souls Day30000July, August1000Valentines Day, All Souls Day40000August, September1500 Valentines Day, All Souls Day35000August, September500 Valentines Day, All Souls Day100000July, August3000 Valentines Day, All Souls Day30000July, August500 Valentines Day, All Souls Day40000July, August1000 Valentines Day, All Souls Day30000July, August1000 Valentines Day, All Souls Day100000August, September2000 Valentines Day, All Souls Day40000August, September500 Valentines Day, All Souls Day50000July, August2000 Valentines Day, All Souls Day40000August, September1000 Valentines Day, All Souls Day100000August, September1500 Valentines Day, All Souls Day100000July, August2000 Valentines Day, All Souls Day100000August, September1000Valentines Day, All Souls Day80000June, July1000 Valentines Day, All Souls Day70000June, July500 Valentines Day, All Souls Day70000August, September500 Valentines Day, All Souls D ay30000July, August500 Valentines Day, All Souls Day60000July, August1000 Valentines Day, All Souls Day50000August, September1000 Valentines Day, All Souls Day40000August, September1000 Problems Encountered During Dormant Seasons P1P2P3P4P5P6P7P8P9P10 AlwaysSometimesAlwaysSometimesSometimesSometimesAlwaysAlwaysNeverSometimes AlwaysSometimesAlwaysSometimesSometimesSometimesAlwaysAlwaysNeverSometimes AlwaysSometimesAlwaysSometimesSometimesSometimesAlwaysSometimesNeverSometimesAlwaysSometimesAlwaysSometimesSometimesSometimesAlwaysSometimesNeverSometimes AlwaysSometimesAlwaysSometimesSometimesAlwaysAlwaysSometimesSometimesSometimes AlwaysSometimesAlwaysSometimesSometimesAlwaysAlwaysAlwaysNeverSometimes AlwaysSometimesAlwaysSometimesSometimesAlwaysAlwaysAlwaysNeverSometimes AlwaysSometimesAlwaysNeverSometimesAlwaysAlwaysSometimesSometimesSometimes AlwaysSometimesAlwaysSometimesSometimesAlwaysAlwaysSometimesNeverSometimes AlwaysSometimesAlwaysSometimesSometimesSometimesAlwaysSometimesNeve rSometimes AlwaysNeverAlwaysNeverSometimesSometimesAlwaysSometimesSometimesSometimes AlwaysSometimesAlwaysSometimesSometimesSometimesAlwaysNeverSometimesSometimes SometimesNeverAlwaysNeverSometimesAlwaysAlwaysNeverNeverSometimes AlwaysSometimesAlwaysNeverSometimesAlwaysAlwaysSometimesSometimesSometimes SometimesSometimesAlwaysNeverSometimesSometimesAlwaysSometimesNeverSometimes AlwaysSometimesAlwaysSometimesSometimesSometimesAlwaysAlwaysSometimesSometimes SometimesSometimesAlwaysSometimesSometimesAlwaysAlwaysNeverSometimesSometimes AlwaysSometimesAlwaysSometimesSometimesAlwaysAlwaysSometimesSometimesSometimes AlwaysNeverAlwaysNeverSometimesAlwaysAlwaysSometimesSometimesSometimes AlwaysNeverAlwaysSometimesSometimesSometimesAlwaysSometimesSometimesSometimes AlwaysSometimesAlwaysNeverSometimesSometimesAlwaysAlwaysSometimesSometimesAlwaysSometimesAlwaysNeverSometimesSometimesAlwaysAlwaysSometimesSometimes AlwaysAlwaysAlwaysNeverSometimesSometimesAlwaysSometimesNeverSometimes SometimesSo metimesAlwaysSometimesSometimesAlwaysAlwaysSometimesSometimesSometimes AlwaysSometimesAlwaysSometimesSometimesSometimesAlwaysAlwaysSometimesSometimes SometimesSometimesAlwaysNeverSometimesSometimesAlwaysSometimesNeverSometimes AlwaysSometimesAlwaysNeverSometimesAlwaysAlwaysSometimesNeverSometimes AlwaysNeverAlwaysNeverSometimesAlwaysAlwaysAlwaysSometimesSometimes SometimesSometimesAlwaysSometimesSometimesAlwaysAlwaysAlwaysSometimesSometimes AlwaysSometimesAlwaysSometimesSometimesAlwaysAlwaysAlwaysNeverSometimesProblems Encountered During Peak Seasons P1P2P3P4P5P6P7P8P9P10 NeverSometimesNeverSometimesSometimesAlwaysAlwaysAlwaysSometimesSometimes SometimesSometimesNeverSometimesSometimesAlwaysAlwaysAlwaysSometimesSometimes NeverSometimesNeverSometimesSometimesAlwaysAlwaysSometimesSometimesSometimes SometimesSometimesNeverSometimesSometimesAlwaysAlwaysSometimesNeverSometimes SometimesSometimesNeverSometimesSometimesAlwaysAlwaysSometimesSometimesSometimes NeverSometimesNeverSometimesSom etimesAlwaysAlwaysAlwaysNeverSometimes NeverSometimesNeverSometimesSometimesAlwaysAlwaysAlwaysSometimesSometimes NeverSometimesNeverSometimesSometimesAlwaysAlwaysSometimesSometimesS metimes NeverSometimesNeverSometimesSometimesAlwaysAlwaysSometimesNeverSometimes SometimesSometimesNeverSometimesSometimesSometimesAlwaysSometimesSometimesSometimes SometimesNeverNeverNeverSometimesAlwaysAlwaysSometimesSometimesSometimes NeverSometimesNeverSometimesSometimesAlwaysAlwaysNeverSometimesSometimes NeverNeverNeverNeverSometimesAlwaysAlwaysNeverSometimesSometimes NeverSometimesNeverSometimesSometimesAlwaysAlwaysSometimesSometimesSometimes NeverSometimesNeverNeverSometimesAlwaysAlwaysSometimesSometimesSometimes NeverSometimesNeverSometimesSometimesSometimesAlwaysAlwaysSometimesSometimes NeverSometimesNeverSometimesSometimesAlwaysAlwaysNeverSometimesSometimes NeverSometimesNeverSometimesSometimesAlwaysAlwaysSometimesSometimesSometimes NeverNeverNeverNeverSometimesAlwaysAlwaysSometimesSometimesSom etimes NeverNeverNeverSometimesSometimesAlwaysAlwaysSometimesSometimesSometimes NeverSometimesNeverNeverSometimesSometimesAlwaysAlwaysSometimesSometimes SometimesSometimesNeverNeverSometimesAlwaysAlwaysAlwaysSometimesSometimes SometimesAlwaysNeverSometimesSometimesSometimesAlwaysSometimesSometimesSometimes NeverSometimesNeverSometimesSometimesAlwaysAlwaysSometimesSometimesSometimes NeverSometimesNeverSometimesSometimesSometimesAlwaysAlwaysSometimesSometimes SometimesSometimesNeverNeverSometimesAlwaysAlwaysSometimesNeverSometimes SometimesSometimesNeverSometimesSometimesAlwaysAlwaysSometimesSometimesSometimes NeverNeverNeverSometimesSometimesAlwaysAlwaysAlwaysSometimesSometimes NeverSometimesNeverSometimesSometimesAlwaysAlwaysAlwaysSometimesSometimes NeverSometimesNeverSometimesSometimesAlwaysAlwaysAlwaysSometimesSometimes S1S2S3S4S5 DisagreeStrongly AgreeAgreeAgreeDisagree DisagreeAgreeStrongly AgreeStrongly AgreeDisagree DisagreeAgreeAgreeAgreeDisagree DisagreeAgreeAgreeStrongly Ag reeAgree DisagreeAgreeAgreeStrongly AgreeAgree AgreeStrongly AgreeAgreeStrongly AgreeDisagreeDisagreeStrongly AgreeAgreeStrongly AgreeDisagree DisagreeStrongly AgreeStrongly AgreeStrongly AgreeDisagree DisagreeStrongly AgreeStrongly AgreeStrongly AgreeAgree AgreeStrongly AgreeStrongly AgreeStrongly AgreeDisagree DisagreeStrongly AgreeStrongly AgreeStrongly AgreeDisagree DisagreeStrongly AgreeAgreeStrongly AgreeDisagree AgreeStrongly AgreeDisagreeStrongly AgreeDisagree AgreeAgreeDisagreeStrongly AgreeAgree AgreeStrongly AgreeAgreeStrongly AgreeDisagree DisagreeStrongly AgreeAgreeStrongly AgreeDisagree AgreeStrongly AgreeAgreeAgreeDisagree AgreeStrongly AgreeStrongly AgreeAgreeAgree DisagreeAgreeDisagreeStrongly AgreeAgree AgreeAgreeDisagreeStrongly AgreeDisagreeAgreeStrongly AgreeAgreeStrongly AgreeStrongly Agree AgreeStrongly AgreeAgreeStrongly AgreeDisagree DisagreeStrongly AgreeAgreeStrongly AgreeStrongly Agree DisagreeStrongly AgreeAgreeStrongly AgreeAgree AgreeStrongly AgreeDisa greeAgreeDisagree AgreeStrongly AgreeAgreeAgreeAgree AgreeStrongly AgreeAgreeAgreeDisagree AgreeStrongly AgreeStrongly AgreeStrongly AgreeDisagree AgreeStrongly AgreeDisagreeStrongly AgreeDisagree AgreeStrongly AgreeDisagreeStrongly AgreeDisagree PROFILE VARIABLES Respondents Type of BusinessArea of BusinessNumber of WorkersYears of ExistenceSupplier's Place 111152 211342 311342 411352 511122 612212 712132 812442 912222 1012242 1112312 1212212 312314 1412212 1512312 1612112 1712452 1813122 1912212 2012212 2112232 2212112 2312222 2412244 2512132 2612122 2712132 2811112 2911112 3012212 1. 001. 801. 972. 332. 13 Numeric Survey Flowers being SoldEstimated Sales rosesmalaysian mumsangel's breath anthuriumbirds of paradise tulipsstar gazerTotal No. of Flowers Being OfferedPeak SeasonsDormant Seasons 111111523 21111444 311111545 41111435 51111434 6111111632 71111433 8111111665 9111333 1011111533 1111111534 1211111532 131111111765 141111432 151111433 161111433 171111465 18111332 19111335 20 1111433 211111464 22111365 23111363 241111111753 251111452 26111352 27111332 281111111743 29111343 30111333 03030187311129 3. 903. 37 Dormant P1P2P3P4P5P6P7P8P9P10Composite Mean 132322233122. 33 232322233122. 33 332322232122. 22 432322232122. 22 532322332222. 44 632322333122. 44 732322333122. 44 832312332222. 33 932322332122. 33 1032322232122. 22 1131312232222. 11 1232322231222. 22 1321312331121. 89 1432312332222. 33 1522312232122. 00 1632322233222. 44 1722322331222. 22 1832322332222. 44 1931312332222. 22 2031322232222. 22 2132312233222. 33 2232312233222. 33 2333312232122. 22 2422322332222. 33 2532322233222. 44 2622312232122. 00 2732312332122. 22 2831312333222. 33 2922322333222. 44 3032322333122. 44 Mean2. 801. 873. 001. 602. 002. 503. 002. 271. 532. 002. 29Problems (Peak) Statements P1P2 P3P4 P5 P6P7 P8P9 P10Composite MeanS1S2S3S4S5Composite Mean 12122333222. 10243322. 80 22122333222. 20234423. 00 12122332222. 00233322. 60 22122332122. 00233433. 00 22122332222. 10233433. 00 1212233 3122. 00343423. 20 12122333222. 10243423. 00 12122332222. 00244423. 20 12122332121. 90244433. 40 22122232222. 00344423. 40 21112332221. 90244423. 20 12122331221. 90243423. 00 11112331221. 70342423. 00 12122332222. 00332433. 00 12112332221. 90343423. 20 12122233222. 00243423. 00 12122331221. 90343323. 00 12122332222. 00344333. 40 11112332221. 80232432. 80 11122332221. 90332422. 80 12112233221. 90343443. 60 22112333222. 10343423. 20 23122232222. 0243443. 40 12122332222. 00243433. 20 12122233222. 00342322. 80 22112332121. 90343333. 20 22122332222. 10343323. 00 11122333222. 00344423. 40 12122333222. 10342423. 00 12122333222. 10342423. 00 1. 301. 871. 001. 772. 002. 833. 002. 271. 872. 00 1. 992. 533. 773. 003. 772. 403. 09 Graphical Presentation G-1 Area of Business G-2 Number of Workers G-3 Years of Existence G-4 Estimated Sales During Peak Season G-5 Estimated Sales per Day during Dormant Season G-6 Central Tendencyof Problems Encountered During Dormant Season G-7 Central Tendency of Problems During Peak Season G-8 Statements Tabular Presentation Profile Variables Frequencies StatisticsType Of BusinessArea Of BusinessNumber Of WorkersYears Of ExistenceSupplier’s Place NValid3030303030 Missing00000 Range02342 Minimum11112 Maximum13454 Sum3054597064 Frequency Table Type Of Business FrequencyPercentValid PercentCumulative Percent ValidSole Proprietorship30100. 0100. 0100. 0 Area Of Business FrequencyPercentValid PercentCumulative Percent ValidPublic Market723. 323. 323. 3 Other Commercial Area2273. 373. 396. 7 Residential Area13. 33. 3100. 0 Total30100. 0100. 0 Number Of Workers FrequencyPercentValid PercentCumulative Percent Valid11136. 736. 736. 7 21136. 736. 773. 3 3620. 020. 093. 3 426. 76. 7100. 0 Total30100. 0100. 0 Years Of Existence FrequencyPercentValid PercentCumulative PercentValid1-5 years1343. 343. 343. 3 6-10 years516. 716. 760. 0 11-15 years413. 313. 373. 3 16-20 years516. 716. 790. 0 Above 20 years310. 010. 0100. 0 Total30100. 0100. 0 Supplie rs’ Place FrequencyPercentValid PercentCumulative Percent Valid22893. 393. 393. 3 426. 76. 7100. 0 Total30100. 0100. 0 Means Case Processing Summary Cases IncludedExcludedTotal NPercentNPercentNPercent Type Of Business * PVCompMean30100. 0%0. 0%30100. 0% Area Of Business * PVCompMean30100. 0%0. 0%30100. 0% Number Of Workers * PVCompMean30100. 0%0. 0%30100. 0% Years Of Existence * PVCompMean30100. 0%0. 0%30100. 0% Suppliers’ Place * PVCompMean30100. 0%0. 0%30100. 0% ReportPVCompMeanType Of BusinessArea Of BusinessNumber Of WorkersYears Of ExistenceSuppliers’ Place 1. 20Mean1. 001. 001. 001. 002. 00 N22222 Std. Deviation. 000. 000. 000. 000. 000 1. 40Mean1. 001. 671. 001. 332. 00 N33333 Std. Deviation. 000. 577. 000. 577. 000 1. 60Mean1. 002. 001. 861. 142. 00 N77777 Std. Deviation. 000. 000. 378. 378. 000 1. 80Mean1. 002. 131. 752. 132. 00 N88888 Std. Deviation. 000. 354. 886. 835. 000 2. 00Mean1. 001. 501. 504. 002. 00 N22222 Std. Deviation. 000. 707. 7071. 414. 000 2. 20Mean1. 001. 502. 753. 252. 50 N44444 Std. Deviation. 000. 577. 5001. 5001. 000 2. 40Mean1. 001. 003. 005. 002. 00 N11111 Std. Deviation†¦.. 2. 0Mean1. 002. 003. 004. 003. 00 N22222 Std. Deviation. 000. 0001. 414. 0001. 414 2. 80Mean1. 002. 004. 005. 002. 00 N11111 Std. Deviation†¦.. TotalMean1. 001. 801. 972. 332. 13 N3030303030 Std. Deviation. 000. 484. 9281. 446. 507 ANOVA Tablea Sum of SquaresDf Area Of Business * PVCompMeanBetween Groups(Combined)3. 7588 Within Groups3. 04221 Total6. 80029 Number Of Workers * PVCompMeanBetween Groups(Combined)15. 3608 Within Groups9. 60721 Total24. 96729 Years Of Existence * PVCompMeanBetween Groups(Combined)45. 5188 Within Groups15. 14921 Total60. 66729 SuppliersPlace * PVCompMeanBetween Groups(Combined)2. 4678 Within Groups5. 00021 Total7. 46729 a.No variance within groups – statistics for TypeOfBusiness * PVCompMean cannot be computed. ANOVA Tablea Mean SquareFSig. AreaOfBusiness * PVCompMeanBetween Groups(Combined) . 4703. 243. 015 Within Groups. 145 NumberOfWorkers * PVCompMeanBetween Groups(Combined)1. 9204. 197. 004 Within Groups. 457 YearsOfExistence * PVCompMeanBetween Groups(Combined)5. 6907. 887. 000 Within Groups. 721 SuppliersPlace * PVCompMeanBetween Groups(Combined). 3081. 295. 299 Within Groups. 238 a. No variance within groups – statistics for TypeOfBusiness * PVCompMean cannot be computed. Measures of Association EtaEta Squared AreaOfBusiness * PVCompMean. 743. 553 NumberOfWorkers * PVCompMean. 784. 615YearsOfExistence * PVCompMean. 866. 750 SuppliersPlace * PVCompMean. 575. 330 Flowers Being Sold Frequencies Statistics RosesMalaysian MumsAngel’s BreathAnthuriumBirds Of Paradise Tulips Star Gazer NValid30303030303030 Missing0000000 Range0001111 Sum303030187311 Frequency Tables Roses FrequencyPercentValid PercentCumulative Percent ValidAvailable30100. 0100. 0100. 0 Malaysian Mums FrequencyPercentValid PercentCumulative Percent ValidAvailable30100. 0100. 0100. 0 Birds Of Paradise FrequencyPercentValid PercentCumulative Percent ValidNot Available2376. 776. 776. 7 Available723. 323. 3100. 0 Total30100. 0100. 0 Angel’s Breath FrequencyPercentValid PercentCumulative PercentValidAvailable30100. 0100. 0100. 0 Tulips FrequencyPercentValid PercentCumulative Percent ValidNot Available2790. 090. 090. 0 Available310. 010. 0100. 0 Total30100. 0100. 0 Star Gazer FrequencyPercentValid PercentCumulative Percent ValidNot Available1963. 363. 363. 3 Available1136. 736. 7100. 0 Total30100. 0100. 0 Descriptive Statistics NSumStd. Deviation Roses3030. 000 Malaysian Mums3030. 000 Angel’s Breath3030. 000 Anthurium3018. 498 Birds Of Paradise307. 430 Tulips303. 305 Star Gazer3011. 490 Valid N (listwise)30 Anthurium FrequencyPercentValid PercentCumulative Percent ValidNot Available1240. 040. 040. 0 Available1860. 060. 0100. 0 Total30100. 0100. 0Estimated Sales during Peak and Dormant Season Frequencies Statistics Estimated Sales Peak SeasonEstimated Sales D ormant Season NValid3030 Missing00 Mean3. 903. 37 Median3. 003. 00 Std. Deviation1. 2691. 098 Range43 Minimum22 Maximum65 Frequency Table Estimated Sales Peak FrequencyPercentValid PercentCumulative Percent Valid10000 – 2999913. 33. 33. 3 30000 – 499991653. 353. 356. 7 50000 – 69999413. 313. 370. 0 70000 – 89999310. 010. 080. 0 90000 and above620. 020. 0100. 0 Total30100. 0100. 0 Estimated Sales Dormant FrequencyPercentValid PercentCumulative Percent Valid500 -999723. 323. 323. 3 1000 – 14991240. 040. 063. 3 1500 – 1999413. 313. 376. 7 000 and above723. 323. 3100. 0 Total30100. 0100. 0 Descriptive Statistics NRangeMinimumMaximumMeanStd. Deviation EstimatedSalesPeak304263. 901. 269 EstimatedSalesDormant303253. 371. 098 Valid N (listwise)30 Problems Encountered During Dormant Seasons Frequencies Statistics DP1DP2DP3DP4DP5DP6DP7DP8DP9DP10 NValid30303030303030303030 Missing0000000000 Mean2. 801. 873. 001. 602. 002. 503. 002. 271. 532. 00 Median3 . 002. 003. 002. 002. 002. 503. 002. 002. 002. 00 Mode323222a3222 Std. Deviation. 407. 434. 000. 498. 000. 509. 000. 640. 507. 000 Range1201010210 Minimum2131223112 Maximum3332233322 a. Multiple modes exist. The smallest value is shown Frequency TableDried Flowers (DP1) FrequencyPercentValid PercentCumulative Percent ValidSometimes620. 020. 020. 0 Always2480. 080. 0100. 0 Total30100. 0100. 0 Pests (DP2) FrequencyPercentValid PercentCumulative Percent ValidNever516. 716. 716. 7 Sometimes2480. 080. 096. 7 Always13. 33. 3100. 0 Total30100. 0100. 0 Few Customers (DP3) FrequencyPercentValid PercentCumulative Percent ValidAlways30100. 0100. 0100. 0 Delayed Deliveries of Ordered Flowers (DP4) FrequencyPercentValid PercentCumulative Percent ValidNever1240. 040. 040. 0 Sometimes1860. 060. 0100. 0 Total30100. 0100. 0 Unpaid Balances of Customers (DP5) FrequencyPercentValid PercentCumulative PercentValidSometimes30100. 0100. 0100. 0 Too many competitors (DP6) FrequencyPercentValid PercentCumul ative Percent ValidSometimes1550. 050. 050. 0 Always1550. 050. 0100. 0 Total30100. 0100. 0 Burdensome taxes (DP7) FrequencyPercentValid PercentCumulative Percent ValidAlways30100. 0100. 0100. 0 Lack of necessary equipment (DP8) FrequencyPercentValid PercentCumulative Percent ValidNever310. 010. 010. 0 Sometimes1653. 353. 363. 3 Always1136. 736. 7100. 0 Total30100. 0100. 0 Lack of stocked flowers (DP9) FrequencyPercentValid PercentCumulative Percent ValidNever1446. 746. 746. 7 Sometimes1653. 353. 3100. 0 Total30100. 0100. 0 Natural Calamities (DP10)FrequencyPercentValid PercentCumulative Percent ValidSometimes30100. 0100. 0100. 0 Descriptive Statistics NRangeMinimumMaximumMeanStd. Deviation DP1301232. 80. 407 DP2302131. 87. 434 DP3300333. 00. 000 DP4301121. 60. 498 DP5300222. 00. 000 DP6301232. 50. 509 DP7300333. 00. 000 DP8302132. 27. 640 DP9301121. 53. 507 DP10300222. 00. 000 Valid N (listwise)30 Means Case Processing Summary Cases IncludedExcludedTotal NPercentNPercentNPercent DP1 * DPCompMean30100. 0%0. 0%30100. 0% DP2 * DPCompMean30100. 0%0. 0%30100. 0% DP3 * DPCompMean30100. 0%0. 0%30100. 0% DP4 * DPCompMean30100. 0%0. 0%30100. 0% DP5 * DPCompMean30100. 0%0. 0%30100. 0% DP6 * DPCompMean30100. 0%0. 0%30100. 0%DP7 * DPCompMean30100. 0%0. 0%30100. 0% DP8 * DPCompMean30100. 0%0. 0%30100. 0% DP9 * DPCompMean30100. 0%0. 0%30100. 0% DP10 * DPCompMean30100. 0%0. 0%30100. 0% Report DPCompMeanDP1DP2DP3DP4DP5DP6DP7DP8DP9DP10 1. 89Mean2. 001. 003. 001. 002. 003. 003. 001. 001. 002. 00 N1111111111 Std. Deviation†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 2. 00Mean2. 002. 003. 001. 002. 002. 003. 002. 001. 002. 00 N2222222222 Std. Deviation. 000. 000. 000. 000. 000. 000. 000. 000. 000. 000 2. 11Mean3. 001. 003. 001. 002. 002. 003. 002. 002. 002. 00 N1111111111 Std. Deviation†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 2. 22Mean2. 891. 893. 001. 672. 002. 333. 001. 781. 442. 00 N9999999999 Std. Deviation. 333. 601. 000. 500. 000. 00. 000. 441. 527. 000 2. 33Mean2. 891. 893. 001. 442. 002. 563. 002. 561. 672. 00 N9999999999 Std. Deviation. 333. 333. 000. 527. 000. 527. 000. 527. 500. 000 2. 44Mean2. 882. 003. 002. 002. 002. 753. 002. 751. 632. 00 N8888888888 Std. Deviation. 354. 000. 000. 000. 000. 463. 000. 463. 518. 000 TotalMean2. 801. 873. 001. 602. 002. 503. 002. 271. 532. 00 N30303030303030303030 Std. Deviation. 407. 434. 000. 498. 000. 509. 000. 640. 507. 000 ANOVA Tablea,b,c,d Sum of SquaresdfMean Square DP1 * DPCompMeanBetween Groups(Combined)2. 1475. 429 Within Groups2. 65324. 111 Total4. 80029 DP2 * DPCompMeanBetween Groups(Combined)1. 6895. 338 Within Groups3. 7824. 157 Total5. 46729 DP4 * DPCompMeanBetween Groups(Combined)2. 9785. 596 Within Groups4. 22224. 176 Total7. 20029 DP6 * DPCompMeanBetween Groups(Combined)1. 7785. 356 Within Groups5. 72224. 238 Total7. 50029 DP8 * DPCompMeanBetween Groups(Combined)6. 58951. 318 Within Groups5. 27824. 220 Total11. 86729 DP9 * DPCompMeanBetween Groups(Combined)1. 3695. 274 Within Groups6. 09724. 254 Total7. 46729 a. No variance within gr oups – statistics for DP3 * DPCompMean cannot be computed. b. No variance within groups – statistics for DP5 * DPCompMean cannot be computed. c. No variance within groups – statistics for DP7 * DPCompMean cannot be computed. d.No variance within groups – statistics for DP10 * DPCompMean cannot be computed. ANOVA Tablea,b,c,d FSig. DP1 * DPCompMeanBetween Groups(Combined)3. 885. 010 DP2 * DPCompMeanBetween Groups(Combined)2. 146. 094 DP4 * DPCompMeanBetween Groups(Combined)3. 385. 019 DP6 * DPCompMeanBetween Groups(Combined)1. 491. 230 DP8 * DPCompMeanBetween Groups(Combined)5. 992. 001 DP9 * DPCompMeanBetween Groups(Combined)1. 078. 397 a. No variance within groups – statistics for DP3 * DPCompMean cannot be computed. b. No variance within groups – statistics for DP5 * DPCompMean cannot be computed. c. No variance within groups – statistics for DP7 * DPCompMean cannot be computed. d.No variance within groups – statistics for DP 10 * DPCompMean cannot be computed. Measures of Association EtaEta Squared DP1 * DPCompMean. 669. 447 DP2 * DPCompMean. 556. 309 DP4 * DPCompMean. 643. 414 DP6 * DPCompMean. 487. 237 DP8 * DPCompMean. 745. 555 DP9 * DPCompMean. 428. 183 Problems Encountered During Peak Seasons Frequencies Statistics PP1PP2PP3PP4PP5PP6PP7PP8PP9PP10 NValid30303030303030303030 Missing0000000000 Mean1. 301. 871. 001. 772. 002. 833. 002. 271. 872. 00 Median1. 002. 001. 002. 002. 003. 003. 002. 002. 002. 00 Mode1212233222 Std. Deviation. 466. 434. 000. 430. 000. 379. 000. 640. 346. 000 Range1201010210 Minimum1111223112 Maximum2312233322 Frequency Table Dried Flowers (PP1)FrequencyPercentValid PercentCumulative Percent ValidNever2170. 070. 070. 0 Sometimes930. 030. 0100. 0 Total30100. 0100. 0 Pests (PP2) FrequencyPercentValid PercentCumulative Percent ValidNever516. 716. 716. 7 Sometimes2480. 080. 096. 7 Always13. 33. 3100. 0 Total30100. 0100. 0 Few Customers (PP3) FrequencyPercentValid PercentCumulative P ercent ValidNever30100. 0100. 0100. 0 Delayed deliveries of ordered flowers (PP4) FrequencyPercentValid PercentCumulative Percent ValidNever723. 323. 323. 3 Sometimes2376. 776. 7100. 0 Total30100. 0100. 0 Unpaid balances of customers (PP5) FrequencyPercentValid PercentCumulative Percent ValidSometimes30100. 0100. 0100. 0 Too many competitors (PP6)FrequencyPercentValid PercentCumulative Percent ValidSometimes516. 716. 716. 7 Always2583. 383. 3100. 0 Total30100. 0100. 0 Burdensome taxes (PP7) FrequencyPercentValid PercentCumulative Percent ValidA;ways30100. 0100. 0100. 0 Lack of necessary equipment (PP8) FrequencyPercentValid PercentCumulative Percent ValidNever310. 010. 010. 0 Sometimes1653. 353. 363. 3 Always1136. 736. 7100. 0 Total30100. 0100. 0 Lack of stocked flowers (PP9) FrequencyPercentValid PercentCumulative Percent ValidNever413. 313. 313. 3 Sometimes2686. 786. 7100. 0 Total30100. 0100. 0 Natural Calamities (PP10) FrequencyPercentValid PercentCumulative Percent ValidSometime s30100. 0100. 0100. 0Case Processing Summary Cases IncludedExcludedTotal NPercentNPercentNPercent PP1 * PPCompMean30100. 0%0. 0%30100. 0% PP2 * PPCompMean30100. 0%0. 0%30100. 0% PP3 * PPCompMean30100. 0%0. 0%30100. 0% PP4 * PPCompMean30100. 0%0. 0%30100. 0% PP5 * PPCompMean30100. 0%0. 0%30100. 0% PP6 * PPCompMean30100. 0%0. 0%30100. 0% PP7 * PPCompMean30100. 0%0. 0%30100. 0% PP8 * PPCompMean30100. 0%0. 0%30100. 0% PP9 * PPCompMean30100. 0%0. 0%30100. 0% PP10 * PPCompMean30100. 0%0. 0%30100. 0% Report PPCompMeanPP1PP2PP3PP4PP5PP6PP7PP8PP9PP10 1. 70Mean1. 001. 001. 001. 002. 003. 003. 001. 002. 002. 00 N1111111111 Std. Deviation†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 1. 80Mean1. 001. 001. 01. 002. 003. 003. 002. 002. 002. 00 N1111111111 Std. Deviation†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 1. 90Mean1. 251. 751. 001. 502. 002. 883. 001. 881. 752. 00 N8888888888 Std. Deviation. 463. 463. 000. 535. 000. 354. 000. 641. 463. 000 2. 00Mean1. 181. 911. 002. 002. 002. 733. 002. 361. 822. 00 N11111111111111111111 Std. Deviatio n. 405. 302. 000. 000. 000. 467. 000. 505. 405. 000 2. 10Mean1. 502. 131. 001. 882. 002. 873. 002. 632. 002. 00 N8888888888 Std. Deviation. 535. 354. 000. 354. 000. 354. 000. 518. 000. 000 2. 20Mean2. 002. 001. 002. 002. 003. 003. 003. 002. 002. 00 N1111111111 Std. Deviation†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. TotalMean1. 301. 871. 001. 772. 002. 833. 002. 271. 872. 00N30303030303030303030 Std. Deviation. 466. 434. 000. 430. 000. 379. 000. 640. 346. 000 ANOVA Tablea,b,c,d Sum of SquaresdfMean Square PP1 * PPCompMeanBetween Groups(Combined)1. 1645. 233 Within Groups5. 13624. 214 Total6. 30029 PP2 * PPCompMeanBetween Groups(Combined)2. 1835. 437 Within Groups3. 28424. 137 Total5. 46729 PP4 * PPCompMeanBetween Groups(Combined)2. 4925. 498 Within Groups2. 87524. 120 Total5. 36729 PP6 * PPCompMeanBetween Groups(Combined). 2355. 047 Within Groups3. 93224. 164 Total4. 16729 PP8 * PPCompMeanBetween Groups(Combined)4. 5715. 914 Within Groups7. 29524. 304 Total11. 86729 PP9 * PPCompMeanBetween Groups(Combi ned). 3305. 066Within Groups3. 13624. 131 Total3. 46729 a. No variance within groups – statistics for PP3 * PPCompMean cannot be computed. b. No variance within groups – statistics for PP5 * PPCompMean cannot be computed. c. No variance within groups – statistics for PP7 * PPCompMean cannot be computed. d. No variance within groups – statistics for PP10 * PPCompMean cannot be computed. ANOVA Tablea,b,c,d FSig. PP1 * PPCompMeanBetween Groups(Combined)1. 087. 393 PP2 * PPCompMeanBetween Groups(Combined)3. 190. 024 PP4 * PPCompMeanBetween Groups(Combined)4. 160. 007 PP6 * PPCompMeanBetween Groups(Combined). 287. 916 PP8 * PPCompMeanBetween Groups(Combined)3. 008. 30 PP9 * PPCompMeanBetween Groups(Combined). 506. 769 a. No variance within groups – statistics for PP3 * PPCompMean cannot be computed. b. No variance within groups – statistics for PP5 * PPCompMean cannot be computed. c. No variance within groups – statistics for PP7 * PPCompM ean cannot be computed. d. No variance within groups – statistics for PP10 * PPCompMean cannot be computed. Measures of Association EtaEta Squared PP1 * PPCompMean. 430. 185 PP2 * PPCompMean. 632. 399 PP4 * PPCompMean. 681. 464 PP6 * PPCompMean. 237. 056 PP8 * PPCompMean. 621. 385 PP9 * PPCompMean. 309. 095 Statements Frequencies Statistics S1S2S3S4S5 NValid3030303030Missing00000 Mean2. 533. 773. 003. 772. 40 Median3. 004. 003. 004. 002. 00 Mode34342 Std. Deviation. 507. 430. 695. 430. 621 Range11212 Minimum23232 Maximum34444 Frequency Table It is better to sold flowers on peak seasons only (S1) FrequencyPercentValid PercentCumulative Percent ValidAgree1446. 746. 746. 7 Strongly Agree1653. 353. 3100. 0 Total30100. 0100. 0 Customers are seem satisfied in your services and flowers (S2) FrequencyPercentValid PercentCumulative Percent ValidAgree723. 323. 323. 3 Strongly Agree2376. 776. 7100. 0 Total30100. 0100. 0 Total sales of flowers depends on business’ luck (S3) Freque ncyPercentValid PercentCumulative PercentValidDisagree723. 323. 323. 3 Agree1653. 353. 376. 7 Strongly Disagree723. 323. 3100. 0 Total30100. 0100. 0 Flowers are important part of an occasion (S4) FrequencyPercentValid PercentCumulative Percent ValidAgree723. 323. 323. 3 Strongly Agree2376. 776. 7100. 0 Total30100. 0100. 0 Flower shop business is an in demand business anytime (S5) FrequencyPercentValid PercentCumulative Percent ValidDisagree2066. 766. 766. 7 Agree826. 726. 793. 3 Strongly Agree26. 76. 7100. 0 Total30100. 0100. 0 Means Case Processing Summary Cases IncludedExcludedTotal NPercentNPercentNPercent S1 * SSCompMean30100. 0%0. 0%30100. 0% S2 * SSCompMean30100. 0%0. 0%30100. 0%S3 * SSCompMean30100. 0%0. 0%30100. 0% S4 * SSCompMean30100. 0%0. 0%30100. 0% S5 * SSCompMean30100. 0%0. 0%30100. 0% Report SSCompMeanS1S2S3S4S5 2. 60Mean2. 003. 003. 003. 002. 00 N11111 Std. Deviation†¦.. 2. 80Mean2. 503. 502. 253. 502. 25 N44444 Std. Deviation. 577. 577. 500. 577. 500 3. 00Mean2 . 503. 672. 753. 832. 25 N1212121212 Std. Deviation. 522. 492. 622. 389. 452 3. 20Mean2. 574. 003. 293. 862. 29 N77777 Std. Deviation. 535. 000. 488. 378. 488 3. 40Mean2. 604. 003. 803. 802. 80 N55555 Std. Deviation. 548. 000. 447. 447. 837 3. 60Mean3. 004. 003. 004. 004. 00 N11111 Std. Deviation†¦.. TotalMean2. 533. 773. 003. 772. 40 N3030303030 Std.Deviation. 507. 430. 695. 430. 621 ANOVA Table Sum of SquaresDfMean Square S1 * SSCompMeanBetween Groups(Combined). 5525. 110 Within Groups6. 91424. 288 Total7. 46729 S2 * SSCompMeanBetween Groups(Combined)1. 7005. 340 Within Groups3. 66724. 153 Total5. 36729 S3 * SSCompMeanBetween Groups(Combined)6. 77151. 354 Within Groups7. 22924. 301 Total14. 00029 S4 * SSCompMeanBetween Groups(Combined)1. 0435. 209 Within Groups4. 32424. 180 Total5. 36729 S5 * SSCompMeanBetween Groups(Combined)3. 9715. 794 Within Groups7. 22924. 301 Total11. 20029 ANOVA Table FSig. S1 * SSCompMeanBetween Groups(Combined). 383. 855 S2 * SSCompMeanBetween Groups (Combined)2. 25. 085 S3 * SSCompMeanBetween Groups(Combined)4. 496. 005 S4 * SSCompMeanBetween Groups(Combined)1. 158. 358 S5 * SSCompMeanBetween Groups(Combined)2. 637. 049 Measures of Association EtaEta Squared S1 * SSCompMean. 272. 074 S2 * SSCompMean. 563. 317 S3 * SSCompMean. 695. 484 S4 * SSCompMean. 441. 194 S5 * SSCompMean. 595. 355 Results and Discussion Table1. Frequency Distribution of Respondents’ Profile Variables Profile VariablesFrequencyPercentageRank Type of BusinessSole Propreitorship301001 Corporation003 Patrtnership003 Others003 Total30100 Area of BusinessAlong the public market723. 32 Other Commercial Area2273. 31 Residential Area13. 33Others004 Total30100 Number of Workers11136. 71. 5 21136. 71. 5 3620. 02 426. 73 Total30100 Years of Existence1-5 years1343. 31 6-10 years516. 72. 5 11-15 years413. 34 16-20 years516. 72. 5 Above 20 years310. 05 Total30100 The purpose of the study is to determine the profile variables of flower shops and compare the net sal es during the seasons with low and high demand for flowers. The researcher conducted a survey in selected areas in Lipa City and Batangas City where flower shops are situated. All florist that the researcher have questioned, indicated that their business is only owned by one. All have a Sole Proprietorship type of business.After further asking, the researcher found out that it is better to have that type of business to lessen the liability to government, like taxes. As to the area of business, mostly our situated not along the public market but to other commercial area where people can see them easily. In Lipa City, only few shops are in the public market, but many are located in Mataas na Lupa near Robinsons. In Batangas City, most flower shops are seen on Plaza Mabini near Saint Bridget’s College. The result of the survey indicates that 7 out of 30 flower shops are located in public market, 22 are on other commercial area and only 1 was seen on a residential area. Shops are near each other therefore resulting to a tight competitive environment.The survey shows that most shops have only 1 or 2 workers/florist on it. 11 shops have 1 worker only as well as 2 workers. 6 shops have 3 workers and 4 shops have 4 workers. Meaning, 36. 7% prefer lower number of workers. This shows that owners are decreasing the numbers of workers to decrease the expense monthly. Few shops exist in a long time like above 20 years. 43. 3 % of surveyed shops are existing in 1-5 years already. They weren’t be existing in that long time if the business is always incurring loses, therefore despite the dormant and peak seasons, they still have a return on their capital . Table2. Frequency Distribution of Available FlowersFlowersFrequencyPercentageRank Roses30100%2 Malaysian Mums30100%2 Angel's Breath30100%2 Anthurium1823. 30%4 Birds of Paradise760%6 Tulips310%7 Star Gazer1136. 70%5 Most flower shops do not store many flowers. They only order what the customer demanded to them. The survey only indicated those flowers readily available in the flower shops at the time the researcher conducted the interview. All shops have the Malaysian Mums available. These are the flowers that are cheap but still possess beauty if arrange in a nice manner. These are mostly use for funeral purposes which are mostly demanded in a normal day. Roses and Angel’s breath are also available on all shops.Only 7 shops have available birds of paradise, 18 shops have anthurium, 11 shops have Star gazer, and only 3 shops have Tulips in them. These flowers are not only the flowers being sold. They are only the flowers being offered on a typical flower shops that the researcher have interviewed. Clearly stated in the graph G-4 and G-5 that the business is highly profitable during peak seasons like Valentine’s Day, All Souls Day, Mothers’ Day and any month when there is a public occasion. Most flower shops are having a profit of 30000 – 49999 pesos in a day dur ing those occasions. Unlike during a normal day 1000 – 1999 pesos only is the amount of their sales.After further questioning, the researcher found out that there are days that a shop has no sales at all during the few-demand-of-flowers seasons. Few demand seasons include months of June, July, August and September. Exuberant flower arrangements enliven all the meaningful celebration in our annual calendar. Therefore in those seasons flowers are greatly in demand resulting to very high sales on all flower shop business. There are shops which have sales up to 100000 pesos, the reason why more and more people are attracted to engage on this kind of business. Table3. Computed Mean and Verbal Interpretation of Problems Experienced ProblemsDormantPeakMeanVerbal InterpretationRankMeanVerbal InterpretationRank Dried flowers2. 80Always31. 30Never9 Pests1. 87Sometimes91. 87Sometimes6. 5 Few customers3. 00Always1. 51. 00Never10 Delayed Deliveries of ordered flowers1. 60Sometimes101. 77S ometimes8 Unpaid balances of customers2. 00Sometimes7. 52. 00Sometimes4. 5 Too many competitors2. 50Always52. 83Always2 Burdensome taxes3. 00Always1. 53. 00Always1 Lack of necessary equipment2. 27Sometimes62. 27Sometimes3 Lack of stocked flowers2. 53Always41. 87Sometimes6. 5 Natural Calamities2. 00Sometimes7. 52. 00Sometimes4. 5 Like any other business, Flower shops are often experiencing problems with regards to their operations.For the purpose of this research, the researcher decided to divide it to problems relating to peak seasons and dormant seasons. During dormant seasons, the mean for the problem of dried flowers is 2. 80. It means that they are always experiencing this problem during dormant season but during peak the mean is only 1. 3 meaning most or almost all flower shops do not encounter this kind of situation. The problem with Pest, having the same mean of 1. 87 during dormant and peak season is sometimes experience in whatever season it may be. Technologies are advanci ng therefore they have found a way to eliminate pests in their flowers. There are also days when the business have a few customers.This is true during dormant season having a mean of 3. 00. Dormant seasons are days when there is only little demand on a certain products, therefore on those days few people are going to flower shops to buy flowers. But at peak seasons, many consumers are craving for flowers resulting to a mean of 1, meaning the problem of â€Å"few customers† is never experience during peak season. . Taxes are part of a business. Therefore businessman and woman consider this as one of the major problems of an entrepreneur. Having a mean of 3. 00 in the survey for both seasons, it is therefore an all-year problem of these businesses as well as too many competitors.Delayed deliveries of ordered flowers, unpaid balances of customers, lack of necessary equipment and natural calamities are sometimes experience by the shops in whatever season it may be. Table4. Weight ed Mean Distribution on the Perception of the Owners as regards to Flower Shop Business StatementsMeanVerbal InterpretationRank It is better to sold flowers on Peak Seasons only2. 53Agree4 Customers are seem satisfied in your services and flowers3. 77Strongly Agree1. 5 Total sales each day depends on the business’ luck3. 00Agree3 Flowers are important part of an occasion3. 77Strongly Agree1. 5 Flower shop business is an in-demand business anytime2. 40Agree5 Most of the respondents agree on selling flowers only on seasons when it is in demand, 16 respondents strongly agree on this statement.Most of the shops are confident enough that their customers are satisfied in what they are offering. Belief in luck also affects the managerial skills of an entrepreneur. In the said survey, 16 respondents agree that the sales of a business depend on luck, but still 7 respondents disagree and 7 strongly disagree having a total of 14 disagreements. One must not only depend on luck for a busi ness to be successful. A manager must do something to increase the sales and make his business highly profitable having the capability to overcome different problems. With proper plan and strategies, business will bloom and will be returning one’s investment. Table5.Relationship between the Respondents’ Profile Variable and their Perception of as regards to Internet Cafe Business Profile VariableEtaEta SquaredP-ValueVerbal Interpretation Area Of Business 0. 7430. 5530. 015Not Significant Number Of Workers0. 7840. 6150. 004Not Significant Years Of Existence0. 8660. 750. 000Not Significant Suppliers’ Place 0. 5750. 330. 299Not Significant Table 3 displays the relationship between the respondents’ profile variable and their perception of as regards to Internet cafe business Review of Related Literature History The flower is the most perfect and fragile work of art given to us (Maia, 2008). It is a natural beauty and art. Flowers have been used for centuries as decoration, personal adornment, or for religious significance.Ancient Egyptians used flowers to honor their many gods and goddesses. Flowers were arranged in low bowls in an orderly, repetitious pattern-flower, bud, foliage, and so on. Special spouted vases were also used to hold flowers. Lotus flowers, also called water lilies, were Egyptian favorites. They came to symbolize sacredness and were associated with Isis, the Egyptian nature goddess. Flowers were sometimes used as decorations for the body, collar, and hair. Flowers were fashioned into elaborate wreaths and garlands by the ancient Greeks. The best wreath makers were often commissioned by wealthy Greeks to make wreaths for gifts, awards, or decoration.Chaplets, special wreaths for the head, were especially popular. Cornucopia, a horn-shaped container still used today, was filled with arrangements of flowers, fruits, and vegetables. Flowers arranged into wreaths and garlands were also popular in ancient Rome and well thr ough to the Middle Ages. The Victorian era saw great developments in the art of floral design. There was enormous enthusiasm for flowers, plants, and gardens; the most cultured young ladies were often schooled in the art of flower arrangement. Rules were first established regarding function and design. Magazines and books about floral arrangement were also published during this time.Proper Victorian ladies often had fresh nosegays, or tussie-mussies, a hand-held arrangement of tightly knotted flowers, for sentimental reasons, if not to freshen the air. Posy holders, fancy carriers for these small floral arrangements, came into fashion. Some were made of ivory, glass, or mother-of-pearl, and were elaborately decorated with jewels or etchings. Flowers were also made into small arrangements and tucked into a lady's decol-letage inside aptly named containers, bosom bottles. Ikebana, the Japanese art of floral arrangement since the sixth century, has been a principal influence on formal flower arrangement design. Its popularity still continues today.In the 1950s, free-form expression developed, incorporating pieces of driftwood and figurines within arrangements of flowers and live plants. Floral traditions of the past still have an impact on us today. It is still fashionable to mark special occasions with flowers, be it an anniversary, wedding, or birthday. People continue to use flowers to commemorate the dead. Today's floral arrangements reflect current styles, trends, and tastes. The best floral designers will follow the developing fashions and creatively adapt them to their arrangements. Business Through generation people have found a way to make this a source of livelihood. One does not have to be an artist to enjoy flowers (Tozer, 2009). Flower arrangements are in demand on certain seasons.The usual sources for flowers include florists shops, supermarket, corner grocery stores, farmers’ markets, roadside stands, greenhouses, mail-order catalogues, and your own or friend’s garden. Wholesale florists sell bulk flowers and related supplies to professionals in the trade. Floristry can involve the cultivation of flowers as well as their arrangement, and to the business of selling them. Much of the raw material supplied for the floristry trade comes from the cut flower industry. Florist shops, along with online stores are the main flower-only outlets, but supermarkets, garden supply stores and filling stations also sell flowers. The floristry business has a significant market in the corporate and social event world, as flowers play a large part in the decor of special events and meetings.Centerpieces, entryways, reception tables, bridal bouquets, wedding chuppahs and stage sets are only a few examples of how flowers are used in the business and social event settings. Flower Shops are wide-spreading in the Philippines. They can be seen along the public market and other commercial areas. Flowers for sale on those shops mostly come s from Baguio City, Davao City, Tagaytay City, Cotabato City and Laguna having a climate suitable for cultivating flowers. The trading post for all these flowers is situated near Dangwa Bus Terminal. The place is called Dimasalang Wholesale Flower Market which is most commonly called as Dangwa Wholesale Market (Asuncion, 2008). Large importers of flowers have set-up shop here as this has simply become the recognized epicenter of flowers in Metro Manila.

Arguing an Opinion †Invention List Essay

In the last twenty years technology has changed society and our culture. We now live in a world that couldn’t have been imagined fifty years ago. Many of these changes have come through computers and connectivity. The Internet is changing the way we live and date. It has made finding your soul mate just a quick click away. By using online dating services you can peruse profiles from the comfort, and security of your home. You can read thousands of profiles , view pictures of people in your area or around the world ,, and then decide whether to move forward with conversations and dating or move on to the next pond. Having the ability to get to know someone via email and messaging is far superior to meeting someone in a hot sticky bar. Online dating allows you the ability to get to know the other person before going to the first date. Since some people tend to be more comfortable expressing themselves through written communication, they tend to open up more during the initial interaction When using an online dating service there isn’t any guesswork about the person you are getting to know. You can be very specific when listing your wants and it is easier to find someone that shares yourvalues.. Setting up a profile unique to your needs and interests helps attract others with similar hobbies and morals. When viewing your matches you already are being connected with others that meet the specific criteria listed in the questionnaire you filled out when completed your personal profile. If there is any question about what a match listed it can be cleared up easily before meeting, via messaging or phone conversations. With the accessibility that the internet provides, online dating can alleviate the jitters associated with meeting someone for the first time. You can talk to someone via email, text message, or on the phone until you are comfortable with meeting your soul mate for the first date. When you meet for the first time it is a welcomed event. You are able to get the awkward introductions and small talk out of the way, and your first date doesn’t have to result in a ‘drink fest’ to rid yourself of the nerves from being in an uncomfortable situation. Technology has changed the face of dating indefinitely and gives you the ability to meet people you would never have the opportunity to meet in your day to day life. While others may still be on the hamster wheel of dating, you can end the monotony and find your soul mate in just a few short clicks.

In Support Of Human Cloning Essays - Cloning, Human Cloning, Dolly

In Support Of Human Cloning Essays - Cloning, Human Cloning, Dolly In Support Of Human Cloning Human cloning is inevitable. As part of the progress of science, human cloning will take place regardless of who opposes it. In this paper I will explain what human cloning is, some of the ethical and moral objections to it, some medical benefits it could serve, what many different religions think of cloning humans, and ultimately why I feel that this would be beneficial to our society. In order to understand the objections and the potential of human cloning, one must know exactly it is and how it is done. In order to clone a living being (animal or human), scientists begin with an egg (ovum) of an adult female. Women generally produce only one each month but can be chemically stimulated to produce more. Researchers remove the DNA-containing nucleus from the egg. Cells from the subject to be cloned are obtained by various methods including a scraping the inside of the cheek, and the DNA-containing nucleus is removed from one of these. Next the adult-cell nucleus is inserted into the egg with a sophisticated nuclear transfer, and the egg is stimulated (electrically or chemically) to trick it into dividing just like an embryo. When the embryo reaches the appropriate stage, you implant it into the uterus of the woman who will give birth to it. After gestation, the clone is born in the normal way (Eibert, par. 2-5). The child that is born as a result of cloning would be nearly genetically identical (the egg holds some mitochondrial DNA that may potentially alter the new DNA slightly) to the subject cloned. The clone should look similar to the adult it was cloned from, but thats where the similarities would end. The clone would have a completely different set of life experiences. It would be raised by different parents, grow up in a different era and different location, and have different circumstances happen to it along the way. It wouldnt be the same person it was cloned from; it would be its own unique individual who just happened to have the same DNA. The characteristics of a person (physical as well as social) are activated by random choices on the DNA. A person has twenty-three chromosomes from his or her mother and twenty-three from the father. Whether or not a person has blue eyes is a random pick from the two sets of chromosomes. Identical twins are also quite different from each other: their fingerprints are different, sometimes one twin will be obese and one not, and sometimes one is gay and one is not. It is these random activations that we cant control, and these random activations may be different in a clone than they were in the original person.(Eibert, par. 40). So what is society so afraid of? Why is the subject of human cloning almost taboo? I think the majority of the population envisions cloning as some sort of mass-market where one can order a baby or create millions of identical people. This was the same sort of fear that in-vitro fertilization (IVF, test-tube babies) created when it was started in the 1970s, and, in theory, this couldnt be more wrong. One of the main problems that most people have with cloning of humans is they believe that in an attempt to create another person there will be many unsuccessful attempts. There is a fear that in forming embryos there will be many that are deformed, destroyed, or otherwise experimented on for scientific gain. Marc Zabludoff writes in Fear and longing that to get one successful birth, many babies would have to die in failed procedures an absolutely unacceptable practice (6) It has been widely publicized that in creating Dolly, the cloned sheep, it took 277 tries. This isnt quite true. What it took to clone Dolly was 277 eggs with a fused nucleus. Only 27 of them divided past the 2-cell stage. Only 13 of these formed embryos and were implanted into a sheep uterus; of these 13, only 1, Dolly, was born. It wasnt that any of the sheep embryos were deformed or manipulated, the adult sheep simply failed to conceive, much like an unsuccessful test-tube conception (Eibert, par. 12). So this fear of deformed or

Bernoullis Principle

CHAPTER 1 INTRODUCTION: Bernoullis Principle is a physical phenomenon that was named after the Swiss scientist Daniel Bernoulli who lived during the eighteenth century. Bernoulli studied the relationship of the speed of a fluid and pressure. The Swiss mathematician and physicist Daniel Bernoulli (1700-1782) discovered the principle that bears his name while conducting experiments concerning an even more fundamental concept: the conservation of energy. This is a law of physics that holds that a system isolated from all outside factors maintains the same total amount of energy, though energy transformations from one form to another take place. writing help service The principle states that the pressure of a fluid [liquid or gas] decreases as the speed of the fluid increases. Within the same fluid (air in the example of aircraft moving through air), high-speed flow is associated with low pressure, and low-speed flow is associated with high pressure. OBJECTIVE: *USE BERNOULLI’S PRINCIPLE TO EXPLAIN HOW THE ENERGY OF A FLUID AND ITS PRESSSURE ARE RELATED. *EXPLAIN SOME SITUATIONS USING BERNOULLI’S PRINCIPLE. SCOPE: *the first fly of airplane In 1899, after Wilbur Wright had written a letter of request to the Smithsonian Institution for information about flight experiments, the Wright Brothers designed their first aircraft: a small, biplane glider flown as a kite to test their solution for controlling the craft by wing warping. Wing warping is a method of arching the wingtips slightly to control the aircrafts rolling motion and balance. * Thursday 2 June-06-011 VORTEX CLIMBER: Researchers at the University of Canterbury can make a robot stick to walls through pressurized air. The non-contact adhesive pad, or air gripper, uses the Bernoulli principle. The feet of the robot dont actually touch the wall but are held 25 micrometers away about 0. 025 mm. Air is squirted out from the feet sideways at high speed, causing a low pressure vortex that creates a * Morgan County students compete at wind generator contest at GCSU related news 2011-05-12 Hard work paid off for 8th grade students at Morgan County Middle School as their teams placed second and third in the 1st Annual Middle Grades Wind Power Competition at Georgia College and State University today, Monday, May 9, 2011. The competition was supported by a grant from the National Science Foundation, and highlighted Science, Technology, Mathematics, and Engineering (STEM) Education. * How cats drink: A lesson in fluid mechanics related news 2010-11-12 Philadelphia Daily News By Tom Avril Inquirer Staff Writer In the annals of animals who have contributed to science, there are Laika the Soviet space dog; Koko, the gorilla who is said to use sign language; and Lancelot, the blind dog who regained some vision after gene therapy at the University of Pennsylvania. And now, Cutta Cutta, the cat? The feline did not exactly provide a cure for cancer, but he has made something * When airplanes fall from the sky related news 2009-06-07 Arab News Chris Impey | LA Times Ive traveled more than five million miles by air — far enough to get to the moon and back 10 times — but I still get a sense of amazement when Im in a fully laden 747 and we lift off. A million pounds of metal traveling at more than 200 mph, countering the force of gravity. Its a minor miracle. Which is why it is so shocking when planes fall from the sky, as happened Chapter II: RELATED STUDIES: *Archimedes principle (Hydrostatics) Archimedes principle that states that a body immersed in a fluid is buoyed up by a force equal to the weight of the displaced fluid. The principle applies to both floating and submerged bodies and to all fluids, i. e. , liquids and gases. It explains not only the buoyancy of ships and other vessels in water but also the rise of a balloon in the air and the apparent loss of weight of objects underwater *Hydrodynamics A liquid or gas flows from regions of high pressure to regions of low pressure. This happens, for example, when water is squeezed from a sponge or squirted from a hose. The flow of a liquid or gas can be laminar (smooth) or turbulent (rough and eddying). *Torricellis Theorem Is an application of the Law of Falling Bodies to liquids. This theorem was derived by the Italian physicist Evangelista Torricelli (1608-1647). It states that a liquid flowing from an outlet in a tank has the same speed as an object falling freely from the level of the liquids surface to the level of the outlet. The theorem also states that a jet of water rises to the level of its source, unless opposed by friction. Torricellis Theorem explains the action of an artesian well. *Pascals Law, The law states that pressure upon the fluid at any point will be transmitted uniformly throughout the fluid. In the case of a gas, a pressure increase causes compression (uniform lessening of volume). Liquids, however, are not compressible. An increase of pressure at any point upon a contained liquid will result in an increase of pressure at every point upon the walls of the container; the volume of the liquid remains the same. Pascals Law explains the action of a hydraulic press and similar devices. Aerodynamics Aerodynamics is the study of air flow over airplanes, cars, and other objects. Airplanes fly because of the way in which air flows over their wings and around their bodies, so a knowledge of aerodynamics is crucial to the design and construction of airplanes. The efficiency with which automobiles use fuel is also a function of air flow. Even stationary objects are affected by aerodynamics. Winds blowing past a tall building, for example, may cause windows to pop out if they are not properly designed and installed. RELATED LETERATURE: *Hydrodynamica By Daniel Bernoulli He considered the properties of basic importance in fluid flow, particularly pressure, density, and velocity, and set forth their fundamental relationship. He put forward what is called Bernoulli’s principle, which states that the pressure in a fluid decreases as its velocity increases. He also established the basis *Liquids and Gases: Principles of Fluid Mechanics Book by Paul Fleisher; Lerner, 2002 Subjects: Fluid MechanicsJuvenile Literature Bernoulli’s principle works just as well with liquids. Most chemistry labs have a piece on, it rushes past the side tube at a high speed. According to Bernoulli’s principle, high velocity creates low pressure. So the side tube generates *Principles of Experimental Phonetics Book by Norman J. Lass; Mosby, 1996 Subjects: Phonetics, Experimental, Speech can be described in the oversimplified terms of Bernoulli’s principle Lieberman, 1968 . Consider that airflow through and therefore the potential energy must decrease. Bernoulli’s equation demonstrates that pressure falls at the *Principles of Economics Vol. 2 Book by C. W. Guillebaud, Alfred Marshall; Macmillan for the Royal Economic Society, 1961 Subjects: Economics poor in equal proportions, price becomes a fair measure of utility; provided allowance is made for collective wealth. 3. Bernoullis suggestion. The edge of enjoyment blunted by familiarity. Superior nobility of collective over private use of wealth. pp * Encyclopedia of Earth and Physical Sciences Vol. 4 Book by Marshall Cavendish; Marshall Cavendish, 2005 Subjects: Earth SciencesEncyclopedias, Physical SciencesEncyclopedias tends to counteract the effect. Bernoulli’s principle explains how airplanes it does over the bottom. From Bernoulli’s equation, as the velocity of lift. Curveballs also rely on Bernoulli’s principle. Putting a spin on a baseball * Scientific American Inventions and Discoveries: All the Milestones in IngenuityFrom the Discovery of Fire to the Invention of the Microwave Oven Book by Rodney Carlisle; Wiley, 2004 Subjects: InventionsHistoryEncyclopedias, InventionsUnited StatesEncyclopedias, Technological InnovationsEncyclopedias, TechnologyHistoryEncyclopedias was not developed until 1761. Bernoulli’s principle In 1738, the Swiss natural philosopher ower surface, creating lift. Bernoulli’s principle is employed in the VI and in boat-keel design. Bernoulli’s principle can be used to explain CHAPTER III: METHODOLOGY: Upon gathering data, direct observation was made to add some knowledge to us about the Bernoulli’s principle. Related books and magazines as the primary tool of the study were used. Books and information from internet were also used as the other sources of additional knowledge about the principle of Bernoulli’s, we also asked some physics teacher about the matter that we have.

Security Legislations and Standards Essay Example | Topics and Well Written Essays - 1000 words

Security Legislations and Standards - Essay Example Some of the well known examples of these rules and regulations comprise the Clinger Cohen Act, the GPRA (Government Performance and Results Act) and FISMA (Federal Information Security Management Act). Seeing that these rules, policies, and regulations are very important for the measurement of information security, thus including them for the information security performance management is useful for the businesses (Chew, Swanson, Stine, Bartol, Brown, & Robinson, 2008). This paper discusses the various aspects of Security Legislations and Standards. Legislations and Standards Serving their Purposes Global information security management guidelines play a significant role in organizing and determining organizational information system security. In this scenario, organizations use various rules and guidelines (such as BS ISO/IEC17799: 2000, BS7799, SSE-CMM and GASPP/GAISP) in order to determine and compare how authenticated their strategies are, and how extensively they are implemented . However, it is discovered that BS ISO/IEC17799: 2000, BS7799, SSE-CMM and GASPP/GAISP were general or common in their scope; as a result they did not focus on the dissimilarities exist between organizations and the reality that their safety needs are exceptional. In addition, according to the research those security strategies were authenticated by application to extensive capability thus it was not a dominant foundation for significant global information security strategy. Thus, to cope with these limitations, it is assessed that information security management strategy should be observed as a library of policies material on information safety management for the committed companies (Siponen & Willison, 2009). In this scenario, organizational directed security standards are different in intensity of concept. In addition, they differ from slack structures for security management (for example GMITS), to a record of security essentials i.e., " perform that, don’t carry out tha t" (for instance standards like BS7799 1993, IT Protection guide 1996), that look like those in list of tasks or responsibilities (for instance "clients should implement passwords whose length is more than 8 characters) that inserted security to information system in a mark in the pack way. Furthermore, development standards also encompass a public level function, as they offer the safety â€Å"development† rank to the business (Siponen & Willison, 2009). How to enforce these Legislations and Standards? The legislation and standard of ‘good practice’ for information security is the leading influence on information security. Additionally, it ensures information security by following a company’s viewpoint, as well as offers a realistic establishment for evaluating corporate data and information systems’ security. In order to effectively implement security management standards and techniques we first need to see the nature of security issues and danger s which an organization is currently facing. In this scenario we need to assess some important security issues those need to be managed and handled through simple security solution. For the management and neutralization of serious security and privacy management aspects we need to build and implement an effective business management policy that could effectively oversee security and privacy related aspect. In this scenario, the basic aim of information security management and standard enforcement is to react against the needs of global security management associations. Another aim is to focus on developing some useful strategies for better handling and