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 14 of each brand. The tires are run until they wear out. The results are given in the table below. Compute a 90​% confidence interval for μA−μB assuming the populations to be approximately normally distributed. You may not assume that the variances are equal. Brand A x1=35,300 kilometers s1=4900 kilometers Brand B x2=37,200 kilometers s2=6100 kilometers

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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 14 of each brand. The tires are run until they wear out. The results are given in the table below. Compute a 90​% confidence interval for μA−μB assuming the populations to be approximately normally distributed. You may not assume that the variances are equal.
Brand A
x1=35,300
kilometers
s1=4900
kilometers
Brand B
x2=37,200
kilometers
s2=6100
kilometers
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