# "Stratified sampling" Essays and Research Papers

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Please write down four factors which affect sampling error and for each factor‚ write down the effect of sampling error (i.e.‚ if a factor is up‚ then what happens to the sampling error) 8. Please write down four factors to decide sample size and for each factor‚ write down the effect of sample size (i.e.‚ if a factor is up‚ then what happens to the sample size) 9. Please write down when the systematic sampling is better than simple random sampling. 10. Please write down why we do

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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 samplingstratified sampling

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securities suit‚ they should only have to show that plaintiffs’claims of Scienter are untrue. 4. HealthSouth concealed the fraud by keeping the fraudulent transactions below \$5‚000. What recommendation would you have to Ernst & Young to improve its sampling practices?

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other. In small populations such sampling is typically done "without replacement"‚ i.e.‚ one deliberately avoids choosing any member of the population more than once. Although simple random sampling can be conducted with replacement instead‚ this is less common and would normally be described more fully as simple random sampling with replacement. Conceptually‚ simple random sampling is the simplest of the probability sampling techniques. It requires a complete sampling frame‚ which may not be available

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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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SAMPLING Sampling is the act‚ process‚ or technique of selecting a suitable sample‚ or a representative part of a population for the purpose of determining parameters or characteristics of the whole population. REASONS FOR SAMPLING There are six main reasons for sampling instead of doing a census. These are; * Economy * Timeliness * The large size of many populations * Inaccessibility of some of the population * Destructiveness of the observation * Accuracy or Reliability

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Purposive sampling Purposive sampling‚ also known as judgmental‚ selective or subjective sampling‚ is a type of non-probability sampling technique. Non-probability sampling focuses on sampling techniques where the units that are investigated are based on the judgement of the researcher. Purposive sampling explained Purposive sampling represents a group of different non-probability sampling techniques. Also known as judgmental‚ selectiveor subjective sampling‚ purposive sampling relies on

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MAUREEN L. M. INTERMEDIATE MICROECONOMICS SAMPLING TECHNIQUES INTRODUCTION A sample is a unit or subset of selection from a larger population that is used in studying to draw conclusions regarding the whole population. A sample is usually selected from the population because it is not easy to study the entire population at once and the cost of doing so may be very high. The sample should be the best representation of the whole population to enable accurate outcomes and accurate

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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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Populations and Sampling Chapter 7 7 Populations and Sampling The Rationale of Sampling Steps in Sampling Types of Sampling Inferential Statistics: A Look Ahead The Case Study Approach The Rationale of Sampling In Chapter One‚ we established the fact that inductive reasoning is an essential part of the scientific process. Recall that inductive reasoning moves from individual observations to general principles. If a researcher can observe a characteristic of interest in all members of a population