A study is conducted to estimate the average difference in bus ridership for a large city during the morning and afternoon rush hours. The transit authority's analyst randomly selects nine buses because of the variety of routes they represent. On a given day the number of riders on each bus is counted at 7:45 A.M. and at 4:45 P.M., with the following results. Bus Morning Afternoon 1 47 41 2 51 45 3 37 44 24 32 50 46 6 44 41 7 50 47 8. 55 51 9. 49 49 Use the data to compute a 90% confidence interval to estimate the population average difference. Assume ridership is normally distributed.
A study is conducted to estimate the average difference in bus ridership for a large city during the morning and afternoon rush hours. The transit authority's analyst randomly selects nine buses because of the variety of routes they represent. On a given day the number of riders on each bus is counted at 7:45 A.M. and at 4:45 P.M., with the following results. Bus Morning Afternoon 1 47 41 2 51 45 3 37 44 24 32 50 46 6 44 41 7 50 47 8. 55 51 9. 49 49 Use the data to compute a 90% confidence interval to estimate the population average difference. Assume ridership is normally distributed.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Problem 1P
Related questions
Question

Transcribed Image Text:A study is conducted to estimate the average difference in bus ridership for a large city during the morning and afternoon rush hours.
The transit authority's analyst randomly selects nine buses because of the variety of routes they represent. On a given day the number
of riders on each bus is counted at 7:45 A.M. and at 4:45 P.M., with the following results.
Bus
Morning
Afternoon
1
47
41
51
45
3
44
4
24
32
5
50
46
6
44
41
7
50
47
8
55
51
49
49
Use the data to compute a 90% confidence interval to estimate the population average difference. Assume ridership is normally
distributed.
37

Transcribed Image Text:44
4
24
32
5
50
46
6
44
41
7
50
47
8
55
51
9
49
49
Use the data to compute a 90% confidence interval to estimate the population average difference. Assume ridership is normally
distributed.
Appendix A Statistical Tables
(Round the intermediate values to 3 decimal places, e.g. 1.254. Round your answers to 3 decimal places, e.g. 1.254.)
<Ds
Attomnts: 0 of 3 usecd
C..bne:t A.
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