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  3. Customer Analytics and A/B Testing in Python

Exercise

Calculating the sample size

You're now going to utilize the sample size function to determine how many users you need for the test and control groups under various circumstances.

Included is the get_sample_size() function you viewed previously, which takes four primary arguments, power, p1, p2 and cl as described before:

def get_sample_size(power, p1, p2, cl, max_n=1000000):
    n = 1 
    while n <= max_n:
        tmp_power = get_power(n, p1, p2, cl)

        if tmp_power >= power: 
            return n 
        else: 
            n = n + 100

    return "Increase Max N Value"

You will continue working with the paywall conversion rate data for this exercise, which has been pre-loaded as purchase_data.

Instructions 1/3

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Calculate the baseline conversion_rate per paywall view by dividing the total amount spent across all purchase_data.purchase values by the count of purchase_data.purchase values in the dataset.