Recapitulation Sampling from a probability distribution or population could be viewed as a random experiment, and the elementary outcomes are the possible samples. Sample statistics, such as the …

47 Disproportionate Stratified Sample Stratified Random Sampling Stratified random sample – A method of sampling obtained by (1) dividing the population into subgroups based on one or more variables …

CLUSTER SAMPLING * Cluster sampling is an example of 'two-stage sampling' . First stage a sample of areas is chosen; Second stage a sample of respondents within those areas is selected. Population …

This is important b/c it indicates that the sample mean is an unbiased estimator of the population mean. * Sampling Distribution of the Mean The mean is an unbiased estimator: The mean of the sample …

In practice, think hard about potential sources of sampling bias, and try your best to avoid them Statistics: Unlocking the Power of Data Lock5 Non-Random Samples Suppose you want to estimate …

Sampling Distribution Introduction In real life calculating parameters of populations is prohibitive because populations are very large. Rather than investigating the whole population, we take a …

3 General Kinds of Sampling Haphazard sampling Based on convenience and/or self-selection Street-corner interview, mall intercept interview Television call-in surveys, questionnaires published in …

The sampling distribution of the statistic is the tool that tells us how close is the statistic to the parameter. * Sampling Distribution of the Mean An example A die is thrown infinitely many times. Let …

The finite sampling gives each element in the population an equal probability of getting into the sample and all choices are independent of one another. It gives each possible sample combination a …

Simple random sample Stratified Cluster Stratification Divide sample into subsamples, based on known characteristics (race, sex, religiousity, continent, department) Benefit: preserve or enhance variability …