A taxi company is trying to decide whether to purchase brand A or brand B tires for its fleet of taxis. To estimate the difference in the two brands, an experiment is conducted using 8 of each brand, assigned at random to the left and right rear wheels of 8 taxis. The tires are run until they wear out and the distances, in kilometers, are recorded in the accompanying data set. Find a 90% confidence interval for u, - H2. Assume that the differences of the distances are approximately normally distributed. Click here to view the data set. Click here to view page 1 of the table of critical values of the t-distribution. Click here to view page 2 of the table of critical values of the t-distribution. Let u, be the population mean for brand A and let µ, be the population mean for brand B. The confidence interval is 5565.1 <µ, - H2 < 4140.1 (Round to one decimal place as needed.) Data set Taxi Brand A Brand B 1 46,900 32,900 39,700 34,900 37,800 36,300 48,000 33,400 2 40,600 34,300 36,700 39,400 47,000 36,200 3 4 6 7 46,900 34,500 8 Print Done

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A taxi company is trying to decide whether to purchase brand A or brand B tires for its fleet of taxis. To estimate the difference in the two brands, an experiment is conducted
using 8 of each brand, assigned at random to the left and right rear wheels of 8 taxis. The tires are run until they wear out and the distances, in kilometers, are recorded in
the accompanying data set. Find a 90% confidence interval for µ, - H2. Assume that the differences of the distances are approximately normally distributed.
Click here to view the data set.
Click here to view page 1 of the table of critical values of the t-distribution.
Click here to view page 2 of the table of critical values of the t-distribution.
.....
Let
H, be the population mean for brand A and let u, be the population mean for brand B.
The confidence interval is
5565.1 <H, -H2<4140.1
(Round to one decimal place as needed.)
Data set
Тaxi
Brand A
Brand B
1
46,900
32,900
39,700
34,900
37,800
36,300
46,900
34,500
48,000
33,400
40,600
34,300
36,700
39,400
47,000
36,200
2
3
4
7
Print
Done
Transcribed Image Text:A taxi company is trying to decide whether to purchase brand A or brand B tires for its fleet of taxis. To estimate the difference in the two brands, an experiment is conducted using 8 of each brand, assigned at random to the left and right rear wheels of 8 taxis. The tires are run until they wear out and the distances, in kilometers, are recorded in the accompanying data set. Find a 90% confidence interval for µ, - H2. Assume that the differences of the distances are approximately normally distributed. Click here to view the data set. Click here to view page 1 of the table of critical values of the t-distribution. Click here to view page 2 of the table of critical values of the t-distribution. ..... Let H, be the population mean for brand A and let u, be the population mean for brand B. The confidence interval is 5565.1 <H, -H2<4140.1 (Round to one decimal place as needed.) Data set Тaxi Brand A Brand B 1 46,900 32,900 39,700 34,900 37,800 36,300 46,900 34,500 48,000 33,400 40,600 34,300 36,700 39,400 47,000 36,200 2 3 4 7 Print Done
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