A study is conducted to determine if bus ridership in a large city is higher during the afternoon rush hours than morning rush hours. The transit authority randomly selects nine buses and on a given day counts the number of riders at 7:45 AM and 4:45 PM. The results are shown below. Conduct an appropriate hypothesis test using 0.05 level of significance. Morning 43 43 37 25 47 42 48 55 52 Afternoon 41 49 44 32 46 55 53 52 50 Which of the followings is/are appropriate conclusion for the hypotheses test? Note that there may be more than one appropriate conclusion. Enter “A” if the conclusion is appropriate and enter “N” if the conclusion is not appropriate. At 95% confidence level, the data supports that the afternoon bus ridership is higher than the morning. Your answer(A/N) is: At 95% confidence level, the data does not support that the afternoon bus ridership is higher than the morning. Your answer (A/N) is: With a maximum risk of 10% of being wrong, we can conclude that the data supports that the afternoon bus ridership is higher than the morning. Your answer (A/N) is:
A study is conducted to determine if bus ridership in a large city is higher during the afternoon rush hours than morning rush hours. The transit authority randomly selects nine buses and on a given day counts the number of riders at 7:45 AM and 4:45 PM. The results are shown below. Conduct an appropriate hypothesis test using 0.05 level of significance. Morning 43 43 37 25 47 42 48 55 52 Afternoon 41 49 44 32 46 55 53 52 50 Which of the followings is/are appropriate conclusion for the hypotheses test? Note that there may be more than one appropriate conclusion. Enter “A” if the conclusion is appropriate and enter “N” if the conclusion is not appropriate. At 95% confidence level, the data supports that the afternoon bus ridership is higher than the morning. Your answer(A/N) is: At 95% confidence level, the data does not support that the afternoon bus ridership is higher than the morning. Your answer (A/N) is: With a maximum risk of 10% of being wrong, we can conclude that the data supports that the afternoon bus ridership is higher than the morning. Your answer (A/N) is:
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section: Chapter Questions
Problem 8CR
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A study is conducted to determine if bus ridership in a large city is higher during the afternoon rush hours than morning rush hours. The transit authority randomly selects nine buses and on a given day counts the number of riders at 7:45 AM and 4:45 PM. The results are shown below. Conduct an appropriate hypothesis test using 0.05 level of significance.
Morning |
43 |
43 |
37 |
25 |
47 |
42 |
48 |
55 |
52 |
Afternoon |
41 |
49 |
44 |
32 |
46 |
55 |
53 |
52 |
50 |
- Which of the followings is/are appropriate conclusion for the hypotheses test? Note that there may be more than one appropriate conclusion.
Enter “A” if the conclusion is appropriate and enter “N” if the conclusion is not appropriate.
- At 95% confidence level, the data supports that the afternoon bus ridership is higher than the morning. Your answer(A/N) is:
- At 95% confidence level, the data does not support that the afternoon bus ridership is higher than the morning. Your answer (A/N) is:
- With a maximum risk of 10% of being wrong, we can conclude that the data supports that the afternoon bus ridership is higher than the morning. Your answer (A/N) is:
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