How Type I Error, Confidence Intervals, Type II Error, and Power Are All Related | by Andreas Martinson | Nov, 2022
Comparing normal distributions and their metricsImage by authorA fundamental part of statistics depends on normal distributions, which makes sense considering almost all distributions converge to a normal distribution due to the central limit theorem.If you have taken a statistics 101 course, you should be familiar with a t-test and know that it compares two normal distributions to each other. However, you might not have gone into depth about the 4 metrics I cover down below (and especially how they’re visualized) since…