Sample size for A/B test

We know now that we need to analyze our A/B test results with a t-test after we've collected data. We have two pretty important questions we need to answer before we do that: what's the effect size and what's the sample size required for this test?

In this case, effect size was given to us. Lending Club is looking to detect the relatively small effect size of 0.2. We'll again use the pwr package and calculate sample size using an appropriate function to find out how many we'll need to recruit into each group, A and B.

This exercise is part of the course

Experimental Design in R

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Exercise instructions

Use the correct function from the pwr package to calculate the required sample size for each group with d = 0.2, a power of 0.8, and a 0.05 significance level. Check the pwr help docs with ?pwr if you need help remembering which function to use and what arguments it takes.

Hands-on interactive exercise

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

# Load the pwr package
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# Use the correct function from pwr to find the sample size
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