Please help me to solve these questions

Question 2 1 pts What is the correct decision rule used in hypothesis testing when using p-values? Q If the p-value is less than alpha, we accept the null hypothesis as being true 0 If the p-value is greater than alpha, we accept the null hypothesis as being true 0 If the p-value is less than alpha, we reject the null hypothesis 0 None of the answers are correct If the p-value is greater than alpha, we reject the null hypothesis Question 3 1 pts Sometimes, when conducting a statistical hypothesis test, we come up empty-handed. That is, we end up with a high p-value, which prevents us from rejecting the null hypothesis, even though our prior expectation was that the null hypothesis is false. For example, imagine you compared sales data resulting from two different promotions. Even though many in your rm agree that Promotion A was better received and more effecve than Promotion B, your analysis of the data following Promotion A and Promotion B prevents you from ruling out the possibility that sales following the two promotions are the same (and any observed differences are due to sampling error). The problem of failing to reject the null hypothesis when it is actually false is called: 0 Statistical power 0 Null hypothesis 0 Type I error (alpha) 0 Type II error (beta) Question 4 1 pts A large t-statistic when conducting a two sample t-test means that two sample means are probably from different populations. 0 True 0 False