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Statistics: Stratified Sampling

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Texas
Instruments

Published on October 05, 2011

- Students will be able to identify situations in which stratification might reduce variation.
- Students will recognize that some stratification designs are useful in reducing variation and some are not.
- Students will recognize that random selection of subject(s) must occur within each stratum.
- Students will recognize that the subjects within each stratum should be as similar as possible and different from the subjects in the other strata based on a variable that has the potential to affect the outcome of the study.

- random selection
- simple random sample (SRS)
- stratified random sample
- stratum(a)
- survey

This lesson involves determining which of three different sampling methods - a simple random selection design and two stratified selection designs - would be most beneficial in selecting a survey sample within a given context.

As a result, students will:

- Use a simple random sample (SRS) to select survey participants.
- Use two different stratified random sampling designs to select survey participants.
- Compare means and variability for the three sampling designs to determine the most effective design for this context.

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