STATISTICS FROM A TO Z<br />-- CONFUSING CONCEPTS CLARIFIED
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Statistics Tip of the Week: "Fail to Reject the Null Hypothesis" is a triple negative -- making it a negative statement.

7/3/2017

1 Comment

 
​In Hypothesis Testing, "Fail to Reject the Null Hypothesis" is one of two possible conclusions to be drawn from the test. The other is "Reject the Null Hypothesis."
 
We are all taught in elementary school to avoid using double negatives, like "I don't have no money." However, statistics goes beyond the double negative to an even more confusing triple negative: "Fail to Reject the Null Hypothesis." Fail, Reject, and Null are all negative words This is like saying, "I don't not have no money."
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That statement confuses a lot of people. ​It may help to understand better if we represent a positive statement by +1 and a negative by -1. In Hypothesis Testing, we are usually trying to determine whether there is a Statistically Significant difference, change, or effect.
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For more on how to clarify this confusing concept, please see my ​video, Fail to Reject the Null Hypothesis. It has received very good reviews, like these:
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1 Comment
Gianna T link
7/19/2021 03:01:24 pm

Thanks foor this blog post

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    Author

    Andrew A. (Andy) Jawlik is the author of the book, Statistics from A to Z -- Confusing Concepts Clarified, published by Wiley.

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  • Home
    • Why This Book Is Needed
    • Articles List, Additional Concepts
    • Examples: 1-Page Summaries
    • Examples: Concept Flow Diagram
    • Examples: Compare and Contrast Tables
    • Examples: Cartoons
    • Example: Which to Use When Article
  • Buy
  • Blog
  • Sample Articles
  • Videos
  • Author
  • Communicate
  • Files
  • Errata