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 12 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 - H assuming the populations to be approximately normally distributed. You may not assume that the variances are equal. Brand A x₁ = 34,900 kilometers s₁ = 5000 kilometers Brand B x₂ = 38,700 kilometers S₂ = 6600 kilometers 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. The confidence interval is <HA-HB< (Round to the nearest integer as needed.) C
A random sample of 200 voters in a town is selected, and 114 are found to support an annexation suit. How large a sample is needed to be 96% confident that a sample proportion of voters in a town found to support an annexation suit will be within 0.015 of the true fraction of the voting population? Click here to view page 1 of the normal probability table. Click here to view page 2 of the normal probability table. The sample size needs to be at least (Round up to the nearest whole number.) C
A taxi A taxi company is trying to decide whether to purchase brand A or brand B tires for its fleet of taxis. To estimate the
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