QUESTION 1 Data analysts use one-sample hypothesis tests to frustrate students manage random sampling error justify their jobs make bad decisions All of the choices above None of the choices QUESTION 2 How are one-sample hypothesis tests different from confidence intervals? One-sample hypothesis tests construct intervals and partial intervals around benchmarks instead of intervals around estimators. One-sample hypothesis tests use alpha instead of the confidence level. One-sample hypothesis tests are not different from confidence intervals. One-sample hypothesis tests provide less information about random sampling error. All of the choices above None of the choices QUESTION 3 The critical value is required for use of the p-value approach to one-sample hypothesis tests is the standardized value of the estimate is the standardized value associated with alpha or alpha/2 is the probability of committing type II error All of the choices above None of the choices QUESTION 4 A false positive in one-sample hypothesis tests occurs when you use the absolute value to turn a negative value to a positive value you fail to reject the null hypothesis when it is false you reject the alternative hypothesis when it is true you reject the null hypothesis when it is true All of the choices above None of the choices