Power Analysis for Hypothesis Test

The statistical tests reports Effect Size and Power, along with P-Value, which is very important because reporting these values will provide more context about the test and make it less cheatable.

When we do the Hypothesis Test one of the questions that often come up is, how much data we need to collect in order to be confident about the test result.

Now, the above result is showing P-value is 22% (0.22) and we are not sure if that means ‘statistically significant’ or not. And when we look at Power, it is 23% (0.23), which means that there is 77% of chance that we might be making the type 2 error.

We can increase the power, but that means we need more data. The question is, how much data?

This is when you want to enable Power Analysis from the property. You can set up the Type 1 and/or Type 2 error thresholds and other parameters.

And it will give you the required data size in order to be more confident about the test result.