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  3. Practicing Statistics Interview Questions in Python

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?