1. The researcher did not reject the false null. A. Type I Error B. Type II error C. correct decision 2. An assumption or claim about the population parameter. A. hypotheses testing B. types of errors C. Hypothesis 3. The value/s that separate the rejection from non-rejection regions. A. confidence level B. Significance level C. critical value 4. The maximum probability of that the researcher will reject the true null. A. confidence level B. Significance level C. critical value 5. Which of the following alternative hypotheses indicate directional? A. u = population mean B. p # population mean C. u > population mean 6. What is the standard score of the mean of the distribution? A. 1 B. 0 C. -1 7. States that there is no significance difference between a parameter and a specific value. A. Alternative hypothesis B. Test of hypotheses C. Null Hypothesis 8. Which of the following determines the critical and non-critical regions? A. critical value B. significance level C. confidence level 9. The significance level is 0.025, what is the confidence level? A. 0.975 B. 0.50 C. 0.4875 10. The population and sample means are known and the sample is 35. What test-statistic is appropriate in this case? A. z-test B. t-test C. two-tailed test 1 1. The significance level is 0.01 and the alternative hypothesis is non-directional. Which of these should be the area of the critical region? A. 0.01 B. 0.005 C. 99% 12. Refer to number 11, what is the area of non-rejection region? A. 0.01 B. 0.005 C. 99% 13. Refer to number 11, What is the area between the population mean and the critical value? A. 0.01 B. 0.005 C. 0.495 14. What is the area under the normal curve? A. 100% B. 1% C. 1 15. The critical values of t are taken from which of the following? A. t-distribution B. table of z scores C. from computation