Part A: Definitions Match each definition with the correct term. The probability

Question

Part A: Definitions Match each definition with the correct term. The probability of committing a type I error if the null hypothesis is true 2. 1. The probability of committing a type I error if the null hypothesis is false 3. A word that means. ,if the null hypothesis is true, then the results from the sample are extremely unusual." 4. The probability of making a correct decision if the null hypothesis is false 5. The probability of committing a type II error if the null hypothesis is false 6. A person's average score on a test if he or she were assessed an infinite number of times 7. The assumption that the population parameter for a statistic is equal to zero 8. A distribution of sampling error that is almost normal in shape 9. Two distributions of sampling error that are skewed in shape 10. An effect size that is typically used when one variable is dichotomous 11. An effect size that is typically used with two numerically scales variables A. Power B. Significant C. Alpha D. d G. Null hypothesis H. Beta I. Zero J. True score K. t F. fand

Explanation / Answer

1. Alpha

2. Zero

Type 1 error is rejecting null hypothesis when it's true, but here as the null hypothesis is false, so error is zero

3. Significant

4. Power

5. Beta

6. True score

7. Null hypothesis

8. t distribution

9. f and x^2

10. r

11. d

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