100 Facts About p-value

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Here’s a list of 100 facts about p-values:

1. A p-value is a measure used in statistical hypothesis testing.
2. It represents the probability of obtaining results as extreme or more extreme than those observed, assuming the null hypothesis is true.
3. The null hypothesis typically posits no effect or no difference between groups.
4. A low p-value (usually below 0.05) is considered evidence to reject the null hypothesis.
5. The significance level (alpha) is the predetermined threshold for rejecting the null hypothesis.
6. A p-value does not indicate the size or importance of an effect.
7. P-values can be affected by sample size; larger samples may yield smaller p-values.
8. P-value interpretation depends on the chosen significance level.
9. A p-value is not the probability that the null hypothesis is true.
10. The concept of p-values was introduced by Ronald A. Fisher in the early 20th century.
11. P-values can range from 0 to 1.
12. A p-value less than alpha suggests that the observed data is unlikely under the null hypothesis.
13. The p-value is not the probability that the alternative hypothesis is true.