Help me pls q's 1-6
Question 1 0/3 pts 0 3 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 424 475 No 199 243 What can be concluded at the o = 0.01 level of significance? For this study, we should use | Select an answer a. The null and alternative hypotheses would be: Ho: [Select an answer : ) (Select an answer . ) (Select an answer : ) (please enter a decimal and note that 91 and /1 represent the proportion and mean for women and p2 and /42 represent the proportion and mean for men.) H1: (Select an answer ; ] Select an answer [ Select an answer : ) (Please enter a decimal) b. The test statistic (? !) = (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 (? : a 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 o = 0.01, 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 = 0.01, so there is sufficient evidence to conclude that the proportion of the 623 freshmen women who attended orientation is greater than the proportion of the 718 freshmen men who attended orientation. The results are statistically significant at o = 0.01, 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. The results are statistically insignificant at o = 0.01, 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.. Question 2 0/5 pts 3 # 99 0 Details Are blonde female college students more likely to have boyfriends than brunette female college students? 471 of the 688 blondes surveyed had boyfriends and 512 of the 788 brunettes surveyed had boyfriends. What can be concluded at the a = 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 #] Select an answer + |Select an answer # ) (please enter a decimal) H1: Select an answer Select an answer : Select an answer * (Please enter a decimal) b. The test statistic (? :)= (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 (? : a e. Based on this, we should | Select an answer * ] the null hypothesis. f. Thus, the final conclusion is that ... The results are statistically significant at a = 0.10, so there is sufficient evidence to conclude that the proportion of the 688 blonde college students who have a boyfriend is greater than the proportion of the 788 brunette college students who have a boyfriend. The results are statistically insignificant at a = 0.10, so there is insufficient evidence to conclude that the population proportion of blonde college students who have a boyfriend is greater than the population proportion of brunette college students who have a boyfriend. The results are statistically insignificant at a = 0.10, so we can conclude that the population proportion of blonde college students who have a boyfriend is equal to the population proportion of brunette college students who have a boyfriend. The results are statistically significant at a = 0.10, so there is sufficient evidence to conclude that the population proportion of blonde college students who have a boyfriend is greater than the population proportion of brunette college students who have a boyfriend. g. Interpret the p-value in the context of the study.g. interpret the p-value in the context of the study. 111E'I'E is a 1345 d'IEI'tEE {if a TM I lEI'TIIII'. If the sample proportion of blonde college students who have a boyfriend is the same as the sample proportion of brunette college students who have a boyfriend and if another another saa blonde college students and ass brunette college students are surveyed then there would be a 1.3436 chance of concluding that blonde college students are at least 3.53s more liitely than brunette college students to have a boyfriend If the percent of all blonde college students who have a boyfriend is the same as the percent of all brunette college students who have a boyfriend and if another e33 blonde college students and THE brunette college students are surveyed then there would be a 134% chance that the percent of the surveyed blonde college students who have a boyfriend would be at least 3.5% more than the percent of the surveyed brunette college students who have a boyfriend. There is a Kalil chance that blonde college students are 3.5% more likely than brunette college students to have a boyfriend. h. interpret the level of significance in the context of the study. If the percent of all blonde college students who have a boyfriend is the same as the percent of all bmnette college students who have a boyfriend and if another ass blonde college students and THE brunette college students are surveyed then there would be a hill chance that we would end up falsely concuding that the population proportion of blonde college students who have a boyfriend is greater than the population proportion of brunette college students who have a boyfriend If the percent of all blonde college students who have a boyfriend is the sarrre as the percent of all brunette college students who have a boyfriend and if another o blonde college students and THE. brunette college students are surveyed then there would be a roar chance that we would end up falsely concudlng that the proportion of these surveyed blonde and brunette college students who have a boyfriend differ from each other. There is a iii chance that there is a difference in the proportion of blonde and brunette college students who have a boyfriend. There is a roar chance that you will never get a boyfriend unless you dye your hair blonde. . Question 3 60/3 pts 3 # 99 Do shoppers at the mall spend less money on average the day after Thanksgiving compared to the day after Christmas? The 42 randomly surveyed shoppers on the day after Thanksgiving spent an average of $129. Their standard deviation was $26. The 60 randomly surveyed shoppers on the day after Christmas spent an average of $132. Their standard deviation was $37. 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 # Select an answer # Select an answer # H1 : Select an answer Select an answer Select an answer + b. The test statistic (? ; ) = (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 (? + a 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 a = 0.05, so there is statistically significant evidence to conclude that the population mean amount of money that day after Thanksgiving shoppers spend is equal to the population mean amount of money that day after Christmas shoppers spend. The results are statistically significant at a = 0.05, so there is sufficient evidence to conclude that the mean expenditure for the 42 day after Thanksgiving shoppers that were observed is less than the mean expenditure for the 60 day after Christmas shoppers that were observed. The results are statistically insignificant at a = 0.05, so there is insufficient evidence to conclude that the population mean amount of money that day after Thanksgiving shoppers spend is less than the population mean amount of money that day after Christmas shoppers spend. The results are statistically significant at a = 0.05, so there is sufficient evidence to conclude that the population mean amount of money that day after Thanksgiving shoppers spend is less than the population mean amount of money that day after Christmas shoppers spend.Question 4 0/3 pts Do men score higher on average compared to women on their statistics finals? Final exam scores of ten randomly selected male statistics students and ten randomly selected female statistics students are shown below. Male: 68 59 84 85 79 85 63 84 83 57 Female: 52 83 81 64 84 46 62 84 49 54 Assume both follow a Normal distribution. What can be concluded at the the a = 0.05 level of significance level of significance? For this study, we should use Select an answer a. The null and alternative hypotheses would be: Ho: Select an answer + Select an answer Select an answer (please enter a decimal) H1 : Select an answer Select an answer # Select an answer # (Please enter a decimal) b. The test statistic ( ? #) (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 (? ) a e. Based on this, we should | Select an answer * | the null hypothesis. f. Thus, the final conclusion is that ... The results are statistically significant at a = 0.05, so there is sufficient evidence to conclude that the population mean statistics final exam score for men is more than the population mean statistics final exam score for women. The results are statistically insignificant at a = 0.05, so there is insufficient evidence to conclude that the population mean statistics final exam score for men is more than the population mean statistics final exam score for women. The results are statistically insignificant at a = 0.05, so there is statistically significant evidence to conclude that the population mean statistics final exam score for men is equal to the population mean statistics final exam score for women. The results are statistically significant at a = 0.05, so there is sufficient evidence to conclude that the mean final exam score for the ten men that were observed is more than the mean final exam score for the ten women that were observed.. Question 5 0/5 pts Is a weight loss program based on exercise more effective than a program based on diet? The 60 overweight people put on a strict one year exercise program lost an average of 39 pounds with a standard deviation of 8 pounds. The 58 overweight people put on a strict one year diet lost an average of 34 pounds with a standard deviation of 10 pounds. What can be concluded at the a = 0.05 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 Select an answer + Select an answer *(please enter a decimal) H1: Select an answer Select an answer + Select an answer * (Please enter a decimal) C. The test statistic | ? * (please show your answer to 3 decimal places.) d. The p-value = (Please show your answer to 4 decimal places.) e. The p-value is ( ? * a f. Based on this, we should | Select an answer * ] the null hypothesis. g. Thus, the final conclusion is that ... The results are statistically significant at a = 0.05, so there is sufficient evidence to conclude that the population mean weight loss on the exercise program is more than the population mean weight loss on the diet. The results are statistically insignificant at o = 0.05, so there is insufficient evidence to conclude that the population mean weight loss on the exercise program is more than the population mean weight loss on the diet. The results are statistically insignificant at a = 0.05, so there is statistically significant evidence to conclude that the population mean weight loss on the exercise program is equal to the population mean weight loss on the diet. The results are statistically significant at a = 0.05, so there is sufficient evidence to conclude that the mean weight loss for the 60 participants on the exercise program is more than the mean weight loss for the 58 participants on the diet. h. Interpret the p-value in the context of the study.participants on the diet. h. Interpret the p-value in the context of the study. There is a 0.17% chance that the mean weight loss for the 60 participants on the exercise program is at least 5 pounds more than the mean weight loss for the 58 participants on the diet. If the population mean weight loss on the exercise program is equal to the population mean weight loss on the diet and if another 60 and 58 participants on the exercise program and on the diet are observed then there would be a 0.17% chance that the mean weight loss for the 60 participants on the exercise program would be at least 5 pounds more than the mean weight loss for the 58 participants on the diet. There is a 0.17% chance of a Type | error. If the sample mean weight loss for the 60 participants on the exercise program is the same as the sample mean weight loss for the 58 participants on the diet and if another 60 participants on the exercise program and 58 participants on the diet are weighed then there would be a 0.17% chance of concluding that the mean weight loss for the 60 participants on the exercise program is at least 5 pounds more than the mean weight loss for the 58 participants on the diet i. Interpret the level of significance in the context of the study. If the population mean weight loss on the exercise program is equal to the population mean weight loss on the diet and if another 60 and 58 participants on the exercise program and on the diet are observed then there would be a 5% chance that we would end up falsely concluding that the sample mean weight loss for these 60 and 58 participants differ from each other. If the population mean weight loss on the exercise program is equal to the population mean weight loss on the diet and if another 60 and 58 participants on the exercise program and on the diet are observed then there would be a 5% chance that we would end up falsely concluding that the population mean weight loss on the exercise program is more than the population mean weight loss on the diet There is a 5% chance that there is a difference in the population mean weight loss between those on the exercise program and those on the diet. There is a 5% chance that you are such a beautiful person that you never have to worry about your weight.. Question 6 0/5 pts 3 Do left handed starting pitchers pitch fewer innings per game on average than right handed starting pitchers? A researcher looked at eleven randomly selected left handed starting pitchers' games and nine randomly selected right handed pitchers' games. The table below shows the results. Left: 5 5 7 5 6 7 7 7 6 7 Right: 8 7 8 7 6 7 6 8 Assume that both populations follow a normal distribution. What can be concluded at the the a - 0.01 level of significance level of significance? For this study, we should use Select an answer a. The null and alternative hypotheses would be: HO: Select an answer Select an answer + Select an answer # (please enter a decimal) H1: Select an answer + Select an answer * Select an answer # (Please enter a decimal) b. The test statistic ? # (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 ? $ a e. Based on this, we should | Select an answer * | the null hypothesis. f. Thus, the final conclusion is that ...f. Thus, the final conclusion is that ... The results are statistically insignificant at a = 0.01, so there is statistically significant evidence to conclude that the population mean innings per game for left handed starting pitchers is equal to the population mean innings per game for right handed starting pitchers. The results are statistically insignificant at a = 0.01, so there is insufficient evidence to conclude that the population mean innings per game for left handed starting pitchers is less than the population mean innings per game for right handed starting pitchers. The results are statistically significant at a = 0.01, so there is sufficient evidence to conclude that the population mean innings per game for left handed starting pitchers is less than the population mean innings per game for right handed starting pitchers The results are statistically significant at a = 0.01, so there is sufficient evidence to conclude that the mean innings per game for the eleven left handed starting pitchers that were looked at is less than the mean innings per game for the nine right handed starting pitchers that were looked at. g. Interpret the p-value in the context of the study. If the sample mean innings per game for the 10 lefties is the same as the sample mean innings per game for the 8 righties and if another another 10 lefties and 8 righties are observed then there would be a 2.02% chance of concluding that the mean innings per game for the 10 lefties is at least 0.9 innings less than the mean innings per game for the 8 righties If the population mean innings per game for left handed starting pitchers is the same as the population mean innings per game for right handed starting pitchers and if another 10 lefties and 8 righties are observed then there would be a 2.02% chance that the mean number of innings per game for the 10 lefties would be at least 0.9 innings less than the mean innings per game for the 8 righties. There is a 2.02% chance that the mean innings per game for the 10 lefties is at least 0.9 innings less than the mean innings per game for the 8 righties. There is a 2.02% chance of a Type | error. h. Interpret the level of significance in the context of the study.There is a thit chance of a Type I error. hs interpret the level of significance in the context of the study. If the population mean innings per game for lefties is the same as the population mean innings per game for righties and if another ill lefties and E dghties are observed, then there would he a iii chance that we would end up falsely concluding that the sample mean innings per game for these id lefties and s rlghties differ from each other. There is a iii. chance that there is a difference in the population mean innings per game for lefties and rightiee. If the population mean innings per game for left handed starting pitchers is the same as the population mean innings per game for right handed starting pitchers and if another it?! lefties and B righties are observed then there would he a iii chance that we would end up falselyI concluding that the population mean innings per game for the lefties is less than the population mean innings per game for the dghties There is a iii: chance that your team will win whether the starting pitcher is a leftyr or a rightg. What you really need is better pitchers
