Exercise

Confidence intervals for proportions

Drawing random samples from a population produces slightly different confidence intervals.

The confidence level represents the percentage of the those intervals that capture the true population parameter. For example, we can expect that 90% of the confidence intervals produced at the 90% confidence level to contain the population parameter. pandas, numpy, and proportion_confint have been imported for you.

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Assuming our whole population is the users in checkout_page 'A', calculate the mean purchase rate.