Type I and Type II Errors in Statistical Decision Making

In this video, we'll talk about the four possible outcomes of making your decision after a hypothesis test. Specifically, we'll focus on the two errors you can make: the Type I Error (aka "False Alarm" or "Alpha Error") and the Type II Error (aka "Miss" or "Beta Error"). We'll also take a moment to mention the two correct decisions you can make, known as "Statistical Power" and "Specificity." Finally, we'll discuss what influences each of these four possible outcomes and why errors are possible in the first place.

[@nathanheide8937]

Very useful video. Thank you!