Standard error

Previously we observed how to calculate the standard deviation using the .std() method. In this exercise, you will explore how to calculate standard deviation for a conversion rate, which requires a slightly different procedure. You will calculate this step by step in this exercise.

Loaded for you is our inner merged dataset purchase_data as well as the computed conversion_rate value.

Find the number of paywall views in the dataset using .count(). Store this in n.
Calculate a quantity we will call v by finding the conversion_rate times the rate of not converting.
Now find our variance, var, by dividing v by n. This is the variance of our conversion rate estimate.
Finally the square root of var has been taken and stored as the variable se for you. This is the standard error of our estimate.

Take Hint (-30 XP)

Exercise

Standard error

Instructions