1. A Type II error is made when A. we fail to reject the null hypothesis and the null hypothesis is false. B. we fail to reject the null hypothesis and the null hypothesis is true. C. we reject the null hypothesis and the null hypothesis is false. D. we reject the null hypothesis and the null hypothesis is true. 2. A Type I error is made when A. we fail to reject the null hypothesis and the null hypothesis is false. B. we fail to reject the null hypothesis and the null hypothesis is true. C. we reject the null hypothesis and the null hypothesis is false. D. we reject the null hypothesis and the null hypothesis is true. 3. A researcher is testing a hypothesis of a single mean. The critical z value for α = .05 and a two-tailed test is ±1.96. The calculated test statistic value from sample data is -1.85. The decision made by the researcher based on this information is to ___________ A. reject the null hypothesis B. fail to reject the null hypothesis C. redefine the null hypothesis D. change the alternate hypothesis
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Type 1 error is... a. Correctly rejecting the null hypothesis. b. Rejecting the null hypothesis when it's actually true. c. Correctly failing to reject the null hypothesis. d. Failing to reject the null hypothesis when it's actually false. 2. Power is defined as the probability of... a. Correctly rejecting the null hypothesis. b. Correctly failing to reject the null hypothesis. c. Failing to reject the null hypothesis when it's actually false. d. Rejecting the null hypothesis when it's actually true. 3. From Study Example 1: Based on the sample, researchers decide to reject the null hypothesis, determining that high school students are sleep deprived. However, additional studies come to the opposite conclusion, finding no evidence of sleep deprivation in high school students. This is an example of... a. power. b. type II error. c. type I error.
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1A. What is a Type-II error? A) Rejecting the alternative hypothesis when it is actually false B) Rejecting the null hypothesis when it is actually true C) Not rejecting the null hypothesis when it is actually false D) Accepting the null hypothesis when it is actually false 1B. What is the level of significance? A) Probability of Type-II error B) Type I error C) Probability of Type-I error D) Probability of Type-III error
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The null hypothesis is ________. A) The no effect hypothesis B) Referred to as the research hypothesis C) The relationship researchers are interested in D) Is denoted as H₀ 2. The alternative hypothesis _______. A) Is the hypothesis that researchers hope to nullify with empirical data B) States the relationship the researchers are interested in C) Is the starting point for any empirical research D) Is the no effect hypothesis 3. In the U.S. legal system, the presumption of innocence is analogous to _____. A) The scientific method B) The alternative hypothesis C) The null hypothesis D) The research hypothesis 4. A type I error occurs when ______. A) H₀ is true but rejected by the researcher B) H₀ is false and the researcher fails to reject H₀ C) H₁ is false and rejected by the researcher D) H₁ is true and the researcher fails to reject H₁
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