Across
- 2. The threshold P-value that determines when we reject a null hypothesis. If we observe a statistic whose P-value based on the null hypothesis is less than a, we reject that null hypothesis.
- 7. When the p-value falls below the alpha level.
- 9. It is the distance between the null hypothesis value, p0, and the truth, p.
- 10. When we don't reject our null hypothesis the p-value is:
- 11. A test's ability to detect a false null hypothesis.
Down
- 1. When our P-value falls below that point, we’ll reject the null hypothesis.
- 3. It can be defined arbitrarily by setting a threshold for our P-value.
- 4. It is a conditional probability. It tells us the probability of getting results at least as unusual as the observed statistic, given that the null hypothesis is true.
- 5. When the null hypothesis is false, but we fail to reject it.
- 6. When the null hypothesis is true, but we mistakenly reject it.
- 8. When we feel more comfortable about rejecting the null hypothesis our p value is: