The test statistic for a hypothesis test determines the obse

The test statistic for a hypothesis test determines the observed level of significance. is based on the significance level and determines the boundary for the rejection region. represents the number of standard deviations between the sample mean and the population mean according to the alternative hypothesis. represents the number of standard deviations between the sample mean and the population mean according to the null hypothesis. The p-value for a hypothesis test is defined as the probability of observing a critical value at least as extreme as the one selected for the hypothesis test, assuming the null hypothesis is true. critical value at least as extreme as the one selected for the hypothesis test, assuming the null hypothesis is false. sample mean at least as extreme as the one selected for the hypothesis test, assuming the null hypothesis is true. population mean at least as extreme as the one selected for the hypothesis test, assuming the alternative hypothesis is true. YouTube would like to test the hypothesis that the average length of an online video watched by a user is more than 6 minutes. A random sample of 40 people watched online videos that averaged 6.6 minutes in length. It is believed that the population standard deviation for the length of online videos is 1.7 minutes. YouTube would like to set a = 0.05. The test statistic for this hypothesis test would be

Solution

14)B

15)A

16)D