Based on these data, can the consumer group conclude, at the 0.05 level of significance, that the mean tread wear of Brand 2 exceeds that of Brand 1? Answer this question by performing a hypothesis test regarding μd (which is μ with a letter "d" subscript), the population mean difference in tread wear for the two brands of tires. Assume that this population of differences (Brand 1 minus Brand 2) is normally distributed.Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places and round your answers as specified. (If necessary, consult a list of formulas.) A. Find the value of the test statistic. (Round to three or more decimal places.) B. Find the critical value at the 0.05 level of significance. (Round to three or more decimal places.) C. At the 0.05 level, can the consumer group conclude that mean tread wear of Brand 2 exceeds that of Brand 1?
Based on these data, can the consumer group conclude, at the 0.05 level of significance, that the mean tread wear of Brand 2 exceeds that of Brand 1? Answer this question by performing a hypothesis test regarding μd (which is μ with a letter "d" subscript), the population mean difference in tread wear for the two brands of tires. Assume that this population of differences (Brand 1 minus Brand 2) is normally distributed.Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places and round your answers as specified. (If necessary, consult a list of formulas.)
A. Find the value of the test statistic. (Round to three or more decimal places.)
B. Find the critical value at the 0.05 level of significance. (Round to three or more decimal places.)
C. At the 0.05 level, can the consumer group conclude that mean tread wear of Brand 2 exceeds that of Brand 1?
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