Crash Course: Statistics #21 - P-Values, Part 1

Today we’re going to begin our three-part unit on p-values.

In this episode we’ll talk about Null Hypothesis Significance Testing (or NHST) which is a framework for comparing two sets of information. In NHST we assume that there is no difference between the two things we are observing and and use our p-value as a predetermined cutoff for if something seems sufficiently rare or not to allow us to reject that these two observations are the same. This p-value tells us if something is statistically significant, but as you’ll see that doesn’t necessarily mean the information is significant or meaningful to you.

Data, Graphing & Statistics, Probability
High School, College

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