The concept of Null Hypotheses can be confusing, because it is about nothingness. And the human mind is wired to understand things that exist, not things that don't exist. I've found that it helps to state the Null Hypothesis as either - No difference
- No change, or
- No effect
So, if we are comparing the Means of Populations A and B, we could say: Null Hypothesis (H0) "There is no difference between the Mean of Population A and the Mean of Population B." But, it can be stated even more clearly and succinctly as an equation: And the Alternative Hypothesis would be the opposite of this: This is for a 2-tailed test: It gets more complicated when we get into 1-tailed tests. In those tests, we'd have either But that would be the subject of another Statistics Tip.
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I just uploaded a new video to the the book's channel on YouTube. It's the 3rd of 3 in a playlist on Samples and Sampling. It's called Sample Size Part 2 (of 2) – for Measurements/Continuous Data. https://youtu.be/mxR-Lsc3ikcFor a complete list of videos based on this book that are completed and next in line, please see the
videos page of this website. |
## AuthorAndrew A. (Andy) Jawlik is the author of the book, Statistics from A to Z -- Confusing Concepts Clarified, published by Wiley. ## Archives
December 2020
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