Hi, I need help with these questions. Thank you.

You wish to test the following claim (H1) at a significance level of a = 0.001. Ho : P1 = P2 H1 : P1 > p2 You obtain a sample from the first population with 159 successes and 478 failures. You obtain a sample from the second population with 77 successes and 358 failures. For this test, you should NOT use the continuity correction, and you should use the normal distribution as an approximation for the binomial distribution. What is the test statistic for this sample? (Report answer accurate to two decimal places.) test statistic = o What is the p-value for this sample? (Report answer accurate to four decimal places.) p-value = Is the proportion of wildfires caused by humans in the south different from the proportion of wildfires caused by humans in the west? 418 of the 536 randomly selected wildfires looked at in the south were caused by humans while 463 of the 567 randomly selected wildfires looked at the west were caused by humans. What can be concluded at the C = 0.01 level of significance? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Ho: Select an answer v Select an answer v Select an answer v H 1: Select an answer v Select an answer |Select an answer c. The test statistic ? ) = (please show your answer to 2 decimal places.) d. The p-value = (Please show your answer to 4 decimal places.) 0.0643 e. The p-value is ? v . Based on this, we should Select an answer | the null hypothesis. g. Thus, the final conclusion is that .. The results are statistically insignificant at o = 0.01, so there is statistically significant evidence to conclude that the population proportion of wildfires caused by humans in the south is equal to the population proportion of wildfires caused by humans in the west. The results are statistically insignificant at o = 0.01, so there is insufficient evidence to conclude that the population proportion of wildfires caused by humans in the south is different from the population proportion of wildfires caused by humans in the west. The results are statistically significant at a = 0.01, so there is sufficient evidence to conclude that the proportion of the 536 wildfires that were caused by humans in the south is different from the proportion of the 567 wildfires that were caused by humans in the west. The results are statistically significant at a = 0.01, so there is sufficient evidence to conclude that the population proportion of wildfires caused by humans in the south is different from the population proportion of wildfires caused by humans in the west Are freshmen psychology majors more likely to change their major before they graduate compared to freshmen business majors? 443 of the 690 freshmen psychology majors from a recent study changed their major before they graduated and 363 of the 605 freshmen business majors changed their major before they graduated. What can be concluded at the C = 0.10 level of significance? You wish to test the following claim (H1) at a significance level of a = 0.001. For this study, we should use |Select an answer Ho : P1 = P2 a. The null and alternative hypotheses would be: H1 : P1 > P2 You obtain a sample from the first population with 159 successes and 478 failures. You obtain a sample Ho: Select an answer v Select an answer |Select an answer from the second population with 77 successes and 358 failures. For this test, you should NOT use the continuity correction, and you should use the normal distribution as an approximation for the binomial H 1: Select an answer |Select an answer |Select an answer distribution. What is the test statistic for this sample? (Report answer accurate to two decimal places.) b. The test statistic [? ) = (please show your answer to 2 decimal places.) test statistic = c. The p-value = (Please show your answer to 4 decimal places.) What is the p-value for this sample? (Report answer accurate to four decimal places.) d. The p-value is ? p-value = e. Based on this, we should |Select an answer |the null hypothesis. f. Thus, the final conclusion is that ... The results are statistically insignificant at or = 0.10, so there is insufficient evidence to conclude that the population proportion of freshmen psychology majors who change their major is greater than the population proportion of freshmen business majors who change their major. The results are statistically significant at o = 0.10, so there is sufficient evidence to conclude that the population proportion of freshmen psychology majors who change their major is greater than the population proportion of freshmen business majors who change their major. The results are statistically insignificant at o = 0.10, so there is statistically significant evidence to conclude that the population proportion of freshmen psychology majors who change their major is the same as the population proportion of freshmen business majors who change their major. The results are statistically significant at a = 0. 10, so there is sufficient evidence to conclude that the proportion of the 690 freshmen psychology majors who changed their major is greater than the proportion of the 605 freshmen business majors who change their major