Multiple Choice Quiz
Multiple Choice Quiz
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 1 For a null hypothesis statement, it always includes: A) a hypothesized value for the sample statistic. B) a statement of equality: (=), (≤) or (≥). C) a statement of less than: (<). D) a statement of greater than: (>). 2 Which of the following statements is true about the alternate hypothesis? A) It is accepted if the null hypothesis is rejected. B) It will always contain an equal sign. C) It is rejected if the null hypothesis is true. D) It is accepted if the null hypothesis is accepted. 3 Which of the following statements is true about the level of significance? A) It is a probability. B) It can be any value between 0 and 1. C) It is the likelihood of rejecting the null hypothesis when it is true. D) All of the above. 4 A Type I Error is: A) calculated from sample information. B) a probability determined from the test statistic. C) the probability of rejecting the null hypothesis when it is true. D) the probability of accepting the null hypothesis when it is false. 5 When testing a null hypothesis, a critical value is: A) calculated from sample information. B) always positive. C) the point that divides the acceptance region from the rejection region. D) a probability determined from the test statistic. 6 In a one-tailed hypothesis test: A) the rejection region is in only one of the tails of a distribution. B) the rejection region is split between the tails of a distribution. C) the area of the rejection region equals the p-value. D) the area of the rejection region is twice the value of the p-value. 7 To use a z statistic in a one-sample hypothesis test of a mean, we need to know: A) the population mean. B) the population standard deviation. C) the degrees of freedom. D) the margin of error. 8 A p-value is equal to the: A) population proportion. B) significance level. C) fraction of the population that has a particular characteristic. D) probability of finding a value of the test statistic that is equal or more extreme (greater than or less than) than the value of the test statistic assuming the null hypothesis is true. 9 A Type II Error occurs when we: A) accept the null hypothesis when it is false. B) reject the alternate hypothesis when it is true. C) reject the null hypothesis when it is false. D) accept the null hypothesis when it is true. 10 Which of the following statements are correct when deciding whether to use the z or the t distribution? A) Use the z distribution in a test of proportions when nπ and n(1 - π) are greater than or equal to 5. B) Use the z distribution when we have a normal population and we know the population standard deviation. C) Use t when the population is normal and the population standard deviation is not known. D) All of the above statements are correct. 11 For H0: µ = 10, with α = 0.05, and (0.0K) = 12, σ = 4, n = 16, what decision is made regarding the null hypothesis? A) The null hypothesis is accepted. B) Fail to reject the null hypothesis. C) Reject the null hypothesis. D) Reject the alternative hypothesis. 12 For H0: µ = 10, with α = 0.05, and (0.0K) = 12, s = 4, n = 16, what decision is made regarding the null hypothesis? A) The null hypothesis is accepted. B) Fail to reject the null hypothesis. C) Reject the null hypothesis. D) Reject the alternative hypothesis. 13 In a hypothesis test, the p-value is 0.001. The stated significance level is 0.05. What is the decision regarding the null hypothesis? A) Reject the null hypothesis. B) Reject the alternate hypothesis. C) Accept the null hypothesis. D) No decision. 14 For H0: π = 0.70, with α = 0.05, using p= 0.85 and n = 100, what is the decision regarding the null hypothesis? A) The null hypothesis is accepted. B) Fail to reject the null hypothesis. C) Reject the null hypothesis. D) Reject the alternative hypothesis. 15 For H0: π = 0.80, α = 0.05, using p= 0.85 and n = 150, what is the decision regarding the null hypothesis? A) The null hypothesis is accepted. B) Fail to reject the null hypothesis. C) Reject the null hypothesis. D) Reject the alternative hypothesis.