A statistician wants to determine if there is a difference in the fuel efficiency of cars between model years. To do this, he selects random makes and models of cars and compares the fuel efficiency in miles per gallon of the current model year and the previous model year. Suppose that data were collected for a random sample of 9 cars, where each difference is calculated by subtracting the fuel efficiency in miles per gallon of the previous model year from the fuel efficiency in miles per gallon of the current model year. Assume that the fuel efficiencies are normally distributed. What type of test is this hypothesis test? A. This is a two-tailed test because the alternative hypothesis is Ha:μd≠0. B. This is a right-tailed test because the alternative hypothesis is Ha:μd>0. C. This is a right-tailed test because the alternative hypothesis is Ha:μd<0. D. This is a left-tailed test because the alternative hypothesis is Ha:μd<0. E. This is a left-tailed test because the alternative hypothesis is Ha:μd>0.
A statistician wants to determine if there is a difference in the fuel efficiency of cars between model years. To do this, he selects random makes and models of cars and compares the fuel efficiency in miles per gallon of the current model year and the previous model year. Suppose that data were collected for a random sample of 9 cars, where each difference is calculated by subtracting the fuel efficiency in miles per gallon of the previous model year from the fuel efficiency in miles per gallon of the current model year. Assume that the fuel efficiencies are
A. This is a two-tailed test because the alternative hypothesis is Ha:μd≠0.
B. This is a right-tailed test because the alternative hypothesis is Ha:μd>0.
C. This is a right-tailed test because the alternative hypothesis is Ha:μd<0.
D. This is a left-tailed test because the alternative hypothesis is Ha:μd<0.
E. This is a left-tailed test because the alternative hypothesis is Ha:μd>0.
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