Suppose that we want to test the null hypothesis that a certain kind of tire will last, on the average, 35,000 miles against the alternative hypothesis that it will last, on the average, 45,000 miles. Assuming that we are dealing with a random variable having an exponential distribution, we specify the sample size and the probability of a type I error and use the Neyman-Pearson lemma to construct a critical region. Would we get the same critical region if we change the alternative hypothesis to
