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0:21:03Question 1Incomplete answerMarked out of 20.00Flag questionTipsQuestion 3 - Adam's caseAdam also believes that airlines systematically increase the price of a roundtrip fare from Sydney to Paris on Thursdays. He collects a sample of data by checking the websites of airlines for flights that depart on a Tuesday (Pop. 1) and on a Thursday (Pop. 2). Test his claim at the 5% level of significance. Use worksheet C of the Excel Exam data file to answer this question.The hypothesis to be tested isBlank 1 Question 1The decision rule at the 5% level of significance isBlank 2 Question 1The p-value for this test isBlank 3 Question 1The calculated test statistic isBlank 4 Question 1

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0:21:03Question 1Incomplete answerMarked out of 20.00Flag questionTipsQuestion 3 - Adam's caseAdam also believes that airlines systematically increase the price of a roundtrip fare from Sydney to Paris on Thursdays. He collects a sample of data by checking the websites of airlines for flights that depart on a Tuesday (Pop. 1) and on a Thursday (Pop. 2). Test his claim at the 5% level of significance. Use worksheet C of the Excel Exam data file to answer this question.The hypothesis to be tested isBlank 1 Question 1The decision rule at the 5% level of significance isBlank 2 Question 1The p-value for this test isBlank 3 Question 1The calculated test statistic isBlank 4 Question 1

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Adam also believes that airlines systematically increase the price of a roundtrip fare from Sydney to Paris on Thursdays. He collects a sample of data by checking the websites of airlines for flights that depart on a Tuesday (Pop. 1) and on a Thursday (Pop. 2). Test his claim at the 5% level of significance. Use worksheet C of the Excel Exam data file to answer this question.

What is the p-value for the test statistic? The p-value is 0.047. (Round to three decimal places as needed.) What is the correct conclusion at the 0.10 level of significance? OA.Reject Ho.There is sufficient evidence to conclude that there is a difference between the mean roundtrip fares between Airline A and Airline B. B.Do not reject Ho.There is sufficient evidence to conclude that there is a difference between the mean roundtrip fares between Airline A and Airline B. C.Reject Ho.There is insufficient evidence to conclude that there is a difference between the mean roundtrip fares between Airline A and Airline B. OD.Do not reject Ho.There is insufficient evidence to conclude that there is a difference between the mean roundtrip fares between Airline A and Airline B.

How do the fares for airlines that directly compete compare?The accompanying table contains roundtrip fares for nonstop travel from a particular city to 10 different destinations in the same country on two airlines that a frequent flyer collected. The test is a two-tailed test. In the formula for the test statistic,D is the sample mean difference,up is the hypothesized mean difference,Sp is the standard deviation of the sample differences,and n is the number of matched pairs. At the 0.10 level of significance, What is the test​ statistic? Airline A Fare (S) 712 701 1004 1137 647 985 947 707 1152 1189 Airline B Fare(S) 715 704 1007 1140 650 988 950 710 1178 1192

In 2020, 16.9% flights arriving to LAX were 15 minutes or more late. Theaverage “arriving late” time was 11.93 minutes per flight. Investigators want tosee whether the delay times have changed since 2020.The available data set from 2021 shows 10 randomly selected airlines and theirarrival information for each month.SHOW YOUR WORK FOR EACH QUESTION!1. First you need to investigate whether the proportion of late flights has changed from 16.9%.a. Write the null and alternative hypotheses.b. Check the condition(s) for the appropriate hypothesis test

How do the fares for airlines that directly compete compare?The accompanying table contains roundtrip fares for nonstop travel from a particular city to 10 different destinations in the same country on two airlines that a frequent flyer collected.In the formula for the test​ statistic, is the sample mean​ difference, is the hypothesized mean​ difference, is the standard deviation of the sample​ differences, and n is the number of matched pairs. Airline A Fare($) 744 687 972 1122 690 953 980 749 1133 1197 Airline B Fare($) 747 690 975 1125 693 956 983 779 1136 1200 At the 0.01 level of significance, What is the test​ statistic?

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