Stratified random sampling

Stratified random sampling is a form of random sampling that involves dividing the population into strata then taking a sample from the strata. Note that this method is only valid for observational studies and cannot be used for experimental studies.

Example

A researcher wants to know if the amount of time that college students spend reading the Bible is associated with gender. How might he procure a sample of 500 subjects, with even amounts in each group, in order to gather data?

Stratify the population into males and females, then number the strata 00001-XXXXX.^[1] Take a random sample from each strata, skipping repeat numbers and numbers over XXXXX,^[1] and ending once each group has hit 250.

Notes

↑ ^1.0 ^1.1 Here, XXXXX refers to the total amount of students at this particular college. As this is an example, we could make up a total population number, but we won't because this is an example.

[note-1] 1.0 ^1.1 Here, XXXXX refers to the total amount of students at this particular college. As this is an example, we could make up a total population number, but we won't because this is an example.

[1]

Stratified random sampling

Example

Notes

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