Exploring the power calculation

As discussed, power is the probability of rejecting the null hypothesis when the alternative hypothesis is true. Here you will explore some properties of the power function and see how it relates to sample size among other parameters. The get_power() function has been included and takes the following arguments in the listed order n for sample size, p1 as the baseline value, p2 as the value with lift included, and cl as the confidence level.

Calculate the power using n = 1000 and n = 2000 in that order, along with the pre-loaded parameters, p1, p2, and cl.
Using the variable n1 for the sample size, find the power with a confidence level of cl = 0.8 and cl = 0.95 in that order.
Hit 'Submit Answer' to compare the ratios. Which change has the bigger impact, increasing the confidence level or the sample size?

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Exercise

Exploring the power calculation

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