Exercise

# Checking for statistical significance

Now that you have an intuitive understanding of statistical significance and p-values, you will apply it to your test result data.

The four parameters needed for the p-value function are the two conversion rates - `cont_conv`

and `test_conv`

and the two group sizes - `cont_size`

and `test_size`

. These are available in your workspace, so you have everything you need to check for statistical significance in our experiment results.

Instructions

**100 XP**

Find the p-value of our experiment using the loaded variables `cont_conv`

, `test_conv`

, `cont_size`

, `test_size`

calculated from our data. Then determine if our result is statistically significant by running the second section of code.