Ch4Def - certain groups and subgroups are available Cluster...

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STAT 110 – Chapter 4 Definitions Population size does not affect confidence interval width significantly as long as the population is at least 100 times larger than the sample. sampling errors – errors caused by the act of taking a sample Æ They cause sample results to be different from the results of a census. random sampling error – results from chance selection in the simple random sample sampling frame – a list of individuals from which we will draw our sample Æ should list every individual in the population undercoverage – occurs when some groups in the population are left out of the process of choosing the sample nonsampling errors – errors not related to the act of selecting a sample from the population Æ can even be present in a census
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Multistage sample – used to select a sample, in stages, from a very large population where
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Unformatted text preview: certain groups and subgroups are available Cluster Sample - Divide population into clusters. Select one or more clusters and include everyone in those clusters in the sample. Systematic Sample - Take every n th item from the sampling frame . Stratified Random Sample – Step 1 – Divide the sampling frame into groups of individuals called strata. The strata are chosen using some characteristic of the individuals already known and of special interest. Examples – race, gender, location Step 2 – Take a separate SRS in each stratum and combine these to make up the stratified random sample. Probability Sample – a sample chosen by chance A sample chosen in such a way that we know what samples are possible and what chance, or probability, each possible sample has to be chosen (not all need be equally probable)....
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Ch4Def - certain groups and subgroups are available Cluster...

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