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Which of the following statements about hypothesis testing is most accurate? A. A Type I error is rejecting the null hypothesis when it is true, and a Type II error is accepting the alternative hypothesis when it is false. B. When the critical Z-statistic is greater than the sample Z-statistic in a two-tailed test, reject the null hypothesis and accept the alternative hypothesis. C. A two-tailed test on a large sample with a significance level of 0.01 has confidence intervals of ±1.96 standard errors. D. A hypothesized mean of 3, a sample mean of 6, and a standard error of the sampling means of 2 give a sample Z-statistic of 1.5. |