The director of student services at Oxnard College is interested in whether women are more likely to attend orientation than men before they begin their coursework. A random sample of freshmen at Oxnard College were asked what their gender is and whether they attended orientation. The results of the survey are shown below: Data for Gender vs. Orientation Attendance Women Men Yes 372 364 No 259 322 What can be concluded at the or = 0.05 level of significance? For this study, we should use |Select an answer a. The null and alternative hypotheses would be: Ho: Select an answer V Select an answer V Select an answer V (please enter a decimal and note that p1 and /41 represent the proportion and mean for women and p2 and /42 represent the proportion and mean for men.) H1 : Select an answer V Select an answer V | |Select an answer V (Please enter a decimal) b. The test statistic [? v ] = (please show your answer to 3 decimal places.) C. The p-value = (Please show your answer to 4 decimal places.) d. The p-value is ? vo e. Based on this, we should Select an answer v | the null hypothesis. f. Thus, the final conclusion is that ... O The results are statistically insignificant at o = 0.05, so there is statistically significant evidence to conclude that the population proportion of freshmen women at Oxnard College who attend orientation is the same as the population proportion of freshmen men at Oxnard College who attend orientation. O The results are statistically insignificant at o = 0.05, so there is insufficient evidence to conclude that the population proportion of freshmen women at Oxnard College who attend orientation is greater than the population proportion of freshmen men at Oxnard College who attend orientation. The results are statistically significant at o = 0.05, so there is sufficient evidence to conclude that the proportion of the 631 freshmen women who attended orientation is greater than the proportion of the 686 freshmen men who attended orientation. The results are statistically significant at o = 0.05, so there is sufficient evidence to conclude that the population proportion of freshmen women at Oxnard College who attend orientation is greater than the population proportion of freshmen men at Oxnard College who attend orientation.Are freshmen psychology majors less likely to change their major before they graduate compared to freshmen business majors? 450 of the 1555 freshmen psychology majors from a recent study changed their major before they graduated and 4'96 of the 639 freshmen business majors changed their major before they graduated. What can be concluded at the O: = 0.01 level of significance? For this study, we should use Select an answer V a. The null and alternative hypotheses would be: H0: Select an answer v Select an answer v Select an answer V [please enter a decimal) H1: Select an answer V Select an answer V Select an answer V [Please enter a decimal) b. The test statistic = I I {please show your answer to 3 decimal places] c. The p-value = I I [Please show your answer to 4 decimal places]: d. The pvalue is 0: e. Based on this, we should the null hypothesis. f. Thus, the final conclusion is that C? The results are statistically insignificant at CI! = 0.01, 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. C3 The results are statistically significant at CI = 0.01. so there is sufficient evidence to conclude that the population proportion of freshmen psychology majors who change their major is less than the population proportion of freshmen business majors who change their major. C3 The results are statistically significant at CI = 0.01. so there is sufficient evidence to conclude that the proportion of the 655 freshmen psychology majors who changed their major is less than the proportion of the 1539 freshmen business majors who change their major. C3 The results are statistically insignificant at Ct = 0.01, so there is insufficient evidence to conclude that the population proportion of freshmen psychology majors who change their major is less than the population proportion of freshmen business majors who change their major. g. Interpret the p-value in the context of the study. If the sample proportion of applicants with easy to pronounce names who receive a callback is the same as the sample proportion of applicants with difficult to pronounce names who receive a callback and if another another 550 applications with easy to pronounce names and 859 applications with difficult to pronounce names are submitted then there would be a 6.96% chance of concluding that the percent callbacks for applicants with easy to pronounce names and applicants with difficult to pronounce names differ by at least 4.3% . There is a 6.96% chance that percent of callbacks for applicants with easy to pronounce names and those with difficult to pronounce names differ by at least 4.3%. O There is a 6.96% chance of a Type | error. O If the population proportion of callbacks for applicants with easy to pronounce last names is the same as the population proportion of callbacks for applicants with difficult to pronounce last names and if another 550 applications with easy to pronounce names and 859 applications with difficult to pronounce names are submitted then there would be a 6.96% chance that the percent of callbacks for the sample of applicants with easy to pronounce names and the percent of callbacks for the sample of applicants with difficult to pronounce names would differ by at least 4.3%. h. Interpret the level of significance in the context of the study. There is a 10% chance that the manager's son will get the job, so it is pointless to apply no matter what your last name is. O If the population proportion of callbacks for applicants with easy to pronounce last names is the same as the population proportion of callbacks for applicants with difficult to pronounce last names and if another 550 applications with easy to pronounce names and 859 applications with difficult to pronounce names are submitted then there would be a 10% chance that we would end up falsely concuding that the population proportion of callbacks for applicants with easy to pronounce last names is different from the population proportion of callbacks for applicants with difficult to pronounce last names. O If the population proportion of callbacks for applicants with easy to pronounce last names is the same as the population proportion of callbacks for applicants with difficult to pronounce last names and if another 550 applications with easy to pronounce names and 859 applications with difficult to pronounce names are submitted then there would be a 10% chance that we would end up falsely concuding that the proportion of callbacks for the submitted applications with easy to pronounce last names is different from the proportion of callbacks for the submitted applications with difficult to pronounce last names.3 Are job applicants with easy to pronounce last names just as likely to get called for an interview than applicants with difficult to pronounce last names. 550 job applications were sent out with last names that are easy to pronounce and 859 identical job applications were sent out with names that were difficult to pronounce. 397 of the "applicants" with easy to pronounce names were called for an interview while 657 of the "applicants" with difficult to pronounce names were called for an interview. What can be concluded at the 0.10 level of significance? For this study, we should use Select an answer a. The null and alternative hypotheses would be: Ho: Select an answer v Select an answer v Select an answer v (please enter a decimal) H1: Select an answer v Select an answer v Select an answer v (Please enter a decimal) b. The test statistic [? v = (please show your answer to 3 decimal places.) c. The p-value = (Please show your answer to 4 decimal places.) d. The p-value is ? v o e. Based on this, we should Select an answer v | the null hypothesis. f. Thus, the final conclusion is that ... The results are statistically insignificant at o = 0.10, so there is insufficient evidence to conclude that among all possible applicants, there is a differnece in the population proportion of callbacks for applicants with easy to pronounce last names and applicants with difficult to pronounce names. The results are statistically significant at o = 0.10, so there is sufficient evidence to conclude that among all possible applicants, there is a differnece in the population proportion of callbacks for applicants with easy to pronounce last names and applicants with difficult to pronounce names. O The results are statistically significant at o = 0.10, so there is sufficient evidence to conclude that the proportion of the 550 applicants with easy to pronounce names who got called for an interview is not the same as the proportion of the 859 applicants with difficult to pronounce names who got called for an interview. O The results are statistically insignificant at o = 0.10, so we can conclude that the population proportion of people with easy to pronounce names who get called for an interview is equal to the population proportion of people with difficult to pronounce names who get called for an interview. g. Interpret the p-value in the context of the study. If the sample proportion of applicants with easy to pronounce names who receive a callback is the same as the sample proportion of applicants with difficult to pronounce names who receive a callback and if another another 550 applications with easy to pronounce names and 859 applications with difficult to pronounce names are submitted then there would be a 6.96% chance of concluding that the percent callbacks for applicants with easy to pronounce names and applicants with difficult to pronounce names differ by at least 4.3% . O There is a 6.96% chance that percent of callbacks for applicants with easy to pronounce names and those with difficult to pronounce names differ by at least 4.3%.g. Interpret the p-value in the context of the study. If the sample proportion of Republicans who display the American flag in front of their residence on the Fourth of July is the same as the sample proportion of Democrats who display the American flag in front of their residence on the Fourth of July and if another another 667 Republicans and 762 Democrats are surveyed then there would be a 0.81% chance of concluding that Republicans are at least 6. 1% less likely to display the American flag in front of their residence on the Fourth of July O If the percent of all Republicans who display the American flag in front of their residence on the Fourth of July is the same as the percent of all Democrats who display the American flag in front of their residence on the Fourth of July and if another 667 Republicans and 762 Democrats are surveyed then there would be a 0.81% chance that the percent of the surveyed Republicans who display the American flag in front of their residence on the Fourth of July would be at least 6.1% less than the percent of the surveyed Democrats who display the American flag in front of their residence on the Fourth of July. O There is a 0.81% chance that Republicans are at least 6.1% less likely to display the American flag in front of their residence on the Fourth of July. O There is a 0.81% chance of a Type | error. h. Interpret the level of significance in the context of the study. If the percent of all Republicans who display the American flag in front of their residence on the Fourth of July is the same as the percent of all Democrats who display the American flag in front of their residence on the Fourth of July and if another 667 Republicans and 767 Democrats are surveyed then there would be a 5% chance that we would end up falsely concuding that the population proportion of Republicans who display the American flag in front of their residence on the Fourth of July is less than the population proportion of Democrats who display the American flag in front of their residence on the Fourth of July O There is a 5% chance that the American flag will be redesigned with your picture on it to honor you for passing this class. O If the percent of all Republicans who display the American flag in front of their residence on the Fourth of July is the same as the percent of all Democrats who display the American flag in front of their residence on the Fourth of July and if another 667 Republicans and 762 Democrats are surveyed then there would be a 5% chance that we would end up falsely concuding that the proportion of these surveyed Republicans and Democrats who display the American flag in front of their residence on the Fourth of July differ from each other. O There is a 5% chance that there is a difference in the proportion of Republicans and Democrats who display the American flag in front of their residence on the Fourth of July. Hint: Helpful Video [+] Hints Submit Question O Search 10:59 PM 11/13/2022Are Republicans less likely than Democrats to display the American flag in front of their residence on the Fourth of July? 402 of the 667 Republicans surveyed display the flag on the Fourth of July and 506 of the 762 Democrats surveyed display the flag on the Fourth of July. What can be concluded at the a = 0.05 level of significance! For this study, we should use |Select an answer a. The null and alternative hypotheses would be: Ho: Select an answer v Select an answer v Select an answer v (please enter a decimal) H1: Select an answer v Select an answer v Select an answer v (Please enter a decimal) b. The test statistic [? v = (please show your answer to 3 decimal places.) c. The p-value = (Please show your answer to 4 decimal places.) d. The p-value is ? v o ased on this, we should Select an answer v the null hypothesis. f. Thus, the final conclusion is that ... The results are statistically significant at o = 0.05, so there is sufficient evidence to conclude that the population proportion of Republicans who display the American flag in front of their residence on the Fourth of July is less than the population proportion of Democrats who display the American flag in front of their residence on the Fourth of July. O The results are statistically insignificant at o = 0.05, so there is insufficient evidence to conclude that the population proportion of Republicans who display the American flag in front of their residence on the Fourth of July is less than the population proportion of Democrats who display the American flag in front of their residence on the Fourth of July. O The results are statistically insignificant at o = 0.05, so we can conclude that the population proportion of Republicans who display the American flag in front of their residence on the Fourth of July is equal to the population proportion of Democrats who display the American flag in front of their residence on the Fourth of July. The results are statistically significant at o = 0.05, so there is sufficient evidence to conclude that the proportion of the 667 Republicans who displayed the American flag in front of their residence on the Fourth of July is less than the proportion of the 762 Democrats who displayed the American flag in front of their residence on the Fourth of July. g. Interpret the p-value in the context of the study. If the sample proportion of Republicans who display the American flag in front of their residence on the Fourth of July is the same as the sample proportion of Democrats who display the American flag in front of their residence on the Fourth of July and if another another 667 Republicans and 762 Democrats are surveyed then there would be a 0.81% chance of concluding that Republicans are at least 6. 1% less likely to display the American flag in front of their residence on the Fourth of July If the percent of all Republicans who display the American flag in front of their residence on the Fourth of July is the same as the percent of all Democrats who display the American flag in front of their residence on the Fourth of July and if another 667 Republicans and 762 Democrats are surveyed then there would be a 0.81% chance that the percent of the surveyed