Statistics 101: Type I and Type II Errors – Part 1.
If this video we begin to talk about what happens when our data analysis leads us to make a conclusion about a hypothesis which turns out to not align with the actual state of the world. These are called Type I and Type II Errors in statistics. There is no computation in this video as it is purely conceptual and aimed at basic understanding.
We start out by looking at two thorough non-statistical examples; the fire hypothesis and the andon hypothesis. These examples set the stage for understanding Type I and Type II Errors in statistics by providing situations you can reference easily. In Part 2 we will do the same thing but with proper statistical problems. Enjoy!
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