STATISTICS AND PROBABILITY

.A Type I error is committed if we make: a. a correct decision when the null hypothesis is false. b. a correct decision when the null hypothesis is true. c. an incorrect decision when the null hypothesis is false. . he level of significance is the d. an incorrect decision when the null hypothesis is true. a. maximum allowable probability of Type II error b. maximum allowable probability of Type | error 2. A Type II error is defined as: c. same as the confidence coefficient a. rejecting a true null hypothesis. d. same as the p-value b. rejecting a false null hypothesis. c. not rejecting a true null hypothesis. 9. The probability of making a Type I error is denoted by d. not rejecting a false null hypothesis. a. . In testing the hypotheses Ho: A = 50 us Ha: # # 50, the following information is known b.B n = 64, x= 53.5 and o = 10. The standardized test statistic is: c.1 - a a. t = 2.8 d.1 - B b. i = -2.0 C. Z = 2.8 10. The level of significance can d. z =-2.8 a. be any positive value 4. If a hypothesis is not rejected at the 0.10 level of significance, it b. be any value a. must be rejected at the 0.05 level c. be any value larger than 0. 1 b. may be rejected at the 0.05 level d. None of the above answers is correct c. will not be rejected at the 0.05 level d. must be rejected at the 0.025 level 5. In testing the hypotheses Ho: u = 75 vs Ha: #