if the type of test statistic is t or f can you also add the df and/or the dfn dfd for t? you can use a TI 84.

A consumer products testing group is evaluating two competing brands of tires, Brand 1 and Brand 2. Tread wear can vary considerably depending on the type of car, and the group is trying to eliminate this effect by installing the two brands on the same random sample of 10 cars. In particular, each car has one tire of each brand on ii: front wheels, with half of the cars chosen at random to have Brand 1 on the left front wheel, and the rest to have Brand 2 there. After all of the cars are driven over the standard test course for 20,000 miles, the amount of tread wear (in inches) is recorded, as shown in Table 1. Difference Car Brand 1 Brand 2 (Brand 1 - Brand 2) 0.296 0.279 0.017 0.235 0.231 -0.046 0.232 0.165 0.064 \"ms- -IE 10 0.266 0.227 0.039 Table1 Based on these data, can the consumer group conclude, at the 0.01 level of signicance, that the mean tread wears of the brands differ? Answer this question by performing a hypothesis test regarding Ltd (which is |.l 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 twotailed test. Then ll in the table below. Carry your intermediate computations to at least three decimal places and round your answers as specied in the table. The null hypothesis: The alternative hypothesis: The type of test statistic: The value of the test EMU Dd: EDD statistic: (Round to at least three decimal places.) X s ? The two critical values at th 0.01 | I f _e . eve o I] and I] Signicance: (Round to at least three decimal places.) At the 0.01 level, can the consumer group conclude that the mean tread wears of the O No brands differ