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Friday, January 29, 2016

The Wknd

This weekend, please complete the following in your textbook:

Page 290: 11, 13, 15, 27 (Use the sampling method definitions below in case we did not get to them all in class!)

**Simple Random Sample, SRS: when we randomly select individuals from a group so that each person/thing is equally likely to be chosen, and each sample (group) is equally likely; this is like pulling names out of a hat, or assigning each person/thing a number and then generating random numbers (ignoring repeats) to collect your sample
**Stratified Random Sample: when we split people into groups (strata) based on some characteristic related to the response variable, then we randomly sample some people/things from each group/strata
**Cluster Sample: when we split people into groups (clusters) (each cluster is ideally representative of the population), then we randomly select one (or more) clusters, then survey everyone/thing in that cluster
**Systematic Sample: when we survey every "nth" person; for instance, we might take a list of all students, start at a random number, then survey every "15th" person on the list
**Convenience Sample: when we survey those people/things that are easy (convenient) for us; no randomization
**Voluntary Response Sample: when we give people the option to respond to a survey, such as an online poll, or if I mail out a survey for people to return; no randomization
**Multistage Sample: this is when we combine multiple methods from above; however, remember that SRS is an inherent part of a cluster or stratified sample--so creating strata then randomly sampling from each group is a stratified sample, not multistage


Enjoy! On Monday in class we'll finish our notes on sampling strategies and start to discuss bias! See you there!

Oh, and I'm definitely checking your homework!

Have a great weekend!

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