Exercise

Visualizing the relationship

Now that we've gone over the effect on certain errors and calculated the necessary sample size for different power values, let's take a step back and look at the relationship between power and sample size with a useful plot.

In this exercise, we'll switch gears and look at a t-test rather than a z-test. In order to visualize this, use the plot_power() function that shows sample size on the x-axis with power on the y-axis and different lines representing different minimum effect sizes.

Instructions

100 XP

Assign a TTestIndPower() object to the results variable.
Visualize the relationship between power and sample size using the plot_power() function with the appropriate parameter values; what do you notice?