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Chi-Square test of independence sample size

The Chi-Square test of independence can be used to assess whether the A/B grouping is related to the dependent variable. It has a different sample size function than that of t-tests and a Mann-Whitney U test.

You will be assessing the previous gamedata dataset. In each of the two game versions, whether the subject returned to the game after seven days was also recorded as TRUE or FALSE. Therefore, the Chi-Square test of independence will assess whether the two conditions of the version variable and two conditions of the return variable are related.

The pwr package has been loaded for you.

This exercise is part of the course

A/B Testing in R

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Exercise instructions

  • Determine the sample size needed for a Chi-square test of independence with a desired effect size of 0.50, power of 0.80, and alpha of 0.05.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Determine the sample size needed
pwr.chisq.test(___)
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