Exercise

# Plotting the distribution

In this exercise, you will visualize the test and control conversion rates as distributions. It is helpful to practice what was covered in the example, as this may be something you have not applied before. Additionally, viewing the data in this way can give a sense of the variability inherent in our estimation.

Four variables, the test and control variances (`test_var`

, `cont_var`

), and the test and control conversion rates (`test_conv`

and `cont_conv`

) have been loaded for you.

Instructions

**100 XP**

- Using the calculated
`control_sd`

and`test_sd`

create the range of x values to plot over. It should be 3 standard deviations in either direction from the`cont_conv`

and`test_conv`

respectively. - Plot the Normal pdf of the test and control groups by specifying the conversion rate as the mean and the standard deviation in that order in
`mlab.normpdf()`