Problems 1 - 11 are matching definition problems. Some answers may be repeated. Some answers are not used. You should know the definitions / descriptions of:
Problem 12 - Know the assumption fundamental to all hypothesis testing.
Problem 13 is to complete the conclusion to a test. There is (sufficient/insufficient) evidence to (reject/support) the claim.
Problems 14 - 22 are true / false. Concentrate on:
Problems 23 and 24 are to use the normal and or student's t table to look up a probability-value when the test statistic is known (read section on p-values on pages 382-383, especially the first example) and finding the critical value.
Problem 25 is to write the null and alternative hypotheses for the given claim. The claim could be about one or two means, proportions, variances or standard deviations. Also identify whether the test is a left-tailed, right-tailed, or two-tailed test (based on the alternative hypothesis). Five parts.
Problem 26 is to write the decision (Reject the null hypothesis or Fail to reject the null hypothesis). Also identify whether the test is left-tailed, right-tailed, or two-tailed if possible - it won't be possible from just a p-value. You can tell the type of test by looking at the critical value and it's relationship to the mean for that distribution. If the critical value is less than the mean, it's a left tail test; if it's greater than the mean, it's a right tail test; if there are two critical values, it's a two-tailed test. You should know the means of all the distributions. Five parts.
Problem 27 is a normal probability plot. We called it a Q-Q Plot with the calculator program. Basically, the data is approximately normal if the q-q plot doesn't deviate too much from a line.
Problems 28-30 are hypothesis tests that are to be worked out on Statdisk. Identify which test on Statdisk you selected. Also write the claim, the critical value(s), test statistic, p-value, decision, and conclusion.