## Application of Simple Random Sampling (SRS) in eDiscovery. Scalable Simple Random Sampling and Strati ed Sampling.

1 Simple Random Sampling The goal is to estimate the mean and the variance of a variable of interest in a nite population by collecting a random sample from it.. random-number tables, to obtain simple random samples. The built-in programs for doing so are called random-number generators. When using randomnumber generators, be aware of whether they provide samples with replacement or samples without replacement. 4. Other Sampling Designs Simple random sampling is the most natural and easily understood method of probability sampling вЂ” it вЂ¦.

Stratiп¬Ѓed Random Sampling вЂўSometimes in survey sampling certain amount of information is known about the elements of the popu- lation to be studied. вЂўFor instance, information may be available on the geographical location of the area, e.g. if it is an inner city, a suburban or a rural area. вЂўCensus information will provide a wealth of other information about the area, for instance, its Scalable Simple Random Sampling and Strati ed Sampling both kand nare given and hence the sampling prob-ability p= k=n. Then, in Section 3.4, we consider the

Scalable Simple Random Sampling and Strati ed Sampling both kand nare given and hence the sampling prob-ability p= k=n. Then, in Section 3.4, we consider the Stratiп¬Ѓed Random Sampling вЂўSometimes in survey sampling certain amount of information is known about the elements of the popu- lation to be studied. вЂўFor instance, information may be available on the geographical location of the area, e.g. if it is an inner city, a suburban or a rural area. вЂўCensus information will provide a wealth of other information about the area, for instance, its

1 Simple Random Sampling The goal is to estimate the mean and the variance of a variable of interest in a nite population by collecting a random sample from it.. Rice-15149 book March 16, 2006 12:53 7.3 Simple Random Sampling 203 7.3.1 The Expectation and Variance of the Sample Mean We will denote the sample size by n (n is less than N) and the values of the sample.

“2.3 Simple Random Sampling Montana State University”.

Simple random sampling Stratified sampling Cluster sampling Systematic sampling RSMichael 2-8 Simple Random Sampling The preferred method вЂ“ probability is highest that sample is representative of population than for any other sampling method. Every member of a population has an equal chance of being selected. Least chance of sample bias. 5 RSMichael 2-9 Proportional Stratified Sampling.

Stratiп¬Ѓed Random Sampling... A stratiп¬Ѓed random sample is obtained by separating the population into mutually exclusive sets, or strata, and then drawing simple random samples from each stra-. With systematic sampling, the target population is partitioned into H > 1 non- overlapping subpopulations of strata. If the population size consists of N discrete elements, then under stratified. Simple random sampling is a sample of individuals that exist in a population; the individuals are randomly selected from the population and placed into a sample..

With systematic sampling, the target population is partitioned into H > 1 non- overlapping subpopulations of strata. If the population size consists of N discrete elements, then under stratified (simple random sampling) or a known probability of being selected (stratified random sampling). The The sample is referred to as representative because the characteristics of a properly drawn sample вЂ¦