(unpublished)‚ © 2008. NOT FOR COMMERCIAL DISTRIBUTION 3 Simple Random Sampling 3.1 INTRODUCTION Everyone mentions simple random sampling‚ but few use this method for population-based surveys. Rapid surveys are no exception‚ since they too use a more complex sampling scheme. So why should we be concerned with simple random sampling? The main reason is to learn the theory of sampling. Simple random sampling is the basic selection process of sampling and is easiest to understand. If everyone in a population
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THEME | AUTHOR 1 | AUTHOR 2 | AUTHOR 3 | AUTHOR 4 | AUTHOR 5 | AUTHOR 6 | Definition of Sampling | Tejero‚E.G.(2006)p.43Sampling affords all the members of the population an equal chance of being selected and becoming a part of the samples of the intended research. | David‚F.P (2005) p.95It is the representative portion of a population or some elements in a population that will represent the entire population. | Gill and Johnson(2002)p.101All surveys are concerned with identifying the ‘research
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The key is the use of statistically derived random sampling procedures. These ensure that survey results can be defended as statistically representative of the population. Surveys that do not follow these procedures can produce results that lead to misguided market research‚ strategic‚ or policy decisions. Any so-called "survey" in which no attempt is made to randomly select respondents‚ such as call-in readers’ or viewers’ "polls"‚ is likely to produce results that in no way reflect overall public
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Types of Sampling In applications: Probability Sampling: Simple Random Sampling‚ Stratified Random Sampling‚ Multi-Stage Sampling * What is each and how is it done? * How do we decide which to use? * How do we analyze the results differently depending on the type of sampling? Non-probability Sampling: Why don’t we use non-probability sampling schemes? Two reasons: * We can’t use the mathematics of probability to analyze the results. * In general‚ we can’t count on a non-probability
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Sampling is concerned with the selection of a subset of individuals from within a statistical population to estimate characteristics of the whole population. Acceptance sampling is used to determine if a production lot of material meets the governing specifications. Two advantages of sampling are that the cost is lower and data collection is faster than measuring the entire population. Sampling is the process of selecting units (e.g.‚ people‚ organizations) from a population of interest so that
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ANSWER: Sampling is that part of statistical practice concerned with the selection of an unbiased or random subset of individual observations within a population of individuals intended to yield some knowledge about the population of concern‚ especially for making predictions based on the statistical inference (Ader‚ Mellenberg & Hand: 2008). There are quite a number of sampling methods that can be employed in research and these include simple random sampling‚ systematic sampling‚ stratified sampling
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Samples and Sampling The term "sampling‚" as used in research‚ refers to the process of selecting the individuals who will participate (e.g.‚ be observed or questioned) in a research study. A sample is any part of a population of individuals on whom information is obtained. It may‚ for a variety of reasons‚ be different from the sample originally selected. Samples and Populations The term "population‚" as used in research‚ refers to all the members of a particular group. It is the group of
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There are many ways to select a random sample. Four of them are discussed below: Simple Random Sampling: In this sampling technique‚ each sample of the same size has the same probability of being selected. Such a sample is called a simple random sample. One way to select a simple random sample is by a lottery or drawing. For example‚ if we need to select 5 students from a class of 50‚ we write each of the 50 names on a separate piece of paper. Then‚ we place all 50 names in a hat and mix them thoroughly
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What is academic honesty and why is it important? In my understanding academic honesty is trust in a relationship between professors‚ teachers‚ students etc. It means to be honest with your fellow classmates‚ teacher‚ and pupils in the process of education. To be academically honest means not to cheat‚ fabricate‚ or copy someone else’s thoughts and ideas as if they were your own. Today academic honesty is a very important issue as it is the base of many universities’ educational programs. As the
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Why is History so important? My mom always told me “History means past‚ present‚ and future. History is part of your life‚ the meaning of your present and the plans for your future. So never forget your past in order to not lose your future.” To be honest I always thought my mom was talking about my ancestors and my entire family tree. You know when you want to know the family diseases that can be hereditary you look at your family tree; you do the same to know all the possibilities for an offspring
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