QUESTION 1 Which of the following statements is true? 0 The P value is the probability that the null hypothesis is true 0 If 0.45 is the pevalue for a hypothesis test. you can accept (or fail to reject) the null hypothesis. 0 In a study of comparing the amount of saian/ earned by men and women the null hypothsis would be dened as "there is a difference in salary between men and women" None of the above. QUESTION 2 [True/False] The pevalue is the probability of obtaining the obsreved or more extreme results if the altenative hypothesis is true 0 True False QUESTION 3 We all know that the p-value describes the probability of obtaining a sample statisitcs as or more extreme by chance alone if the null hypothesis is true. This p-value iS determined based on the result of the test statistics (from sample). The conclusion about the hypothesis is based on the pvalue and the signicance level (typically, signicance level is 0.05 or 5%). Which of the following statements are true (choose all that apply; partial credit is given)? p-value = 0.01 (1%) means that the test result will happend 1 in 100 times by pure chance if the null hypothesis is true. Not likely to happen strictly by chance. Thus, it is a stong evidence against the null hypothesis and we can reject the null hypothesis as a result. p-value = 0.01 (1%) means that the test result will happend 1 in 100 times by pure chance if the null hypothesis is true. Very likely to occur strictly by chance. Thus, it is a stong evidence against the alternative hypothesis and we can fail to reject the null hypothesis as a result. p-value : 0.75 means that the test result will happend 75 in 100 times by pure chance if the null hypothesis is true. Very likely to occur strictly by chance. Thus, it is a very weak evidence against the null hypothesis and we can fail to reject the null hypothesis as a result