The design specifications for a new line of disk drives indicates that the mean seek time is 12.5 ms. A quality assurance analyst believes that the disk drives are faster. 1. Give the appropriate null and one-sided research hypothesis that corresponds to this quality assurance analysts belief. H0: mu = 12.5ms Ha: mu < 12.5ms 2. The analyst collects a random sample of 100 disk drives from a production run and determines that the mean seek time is 12.2 ms with a standard deviation of 0.3 ms. a. Calculate the p-value for the hypotheses stated above. Note that in this case we have a large sample. We first need to compute the z value for a mean seek time of 12.2 ms. z = (12.2-12.5)/s(ybar) s(ybar) = 0.3/sqrt(100) = 0.3/10 = 0.03 Hence: z = (12.2-12.5)/0.03 = -0.3/0.03 = -10 We need to find the area under the standard normal curve for z less than -10. Notice that this z value is larger than any value in the z table. Hence, the required area is approximately zero. Hence the p-value is approximately zero (i.e. much less than 0.01). b. Is this significant, highly significant, or non-significant? Highly significant. c. Comment on the analyst's belief. Since this is a highly significant result, reject H0. The analyst therefore has strong evidence to support her point of view. 3. Suppose that the sample size is 10 instead of 100, with the same mean and standard deviation. a. Re-compute the p-value. Since the sample is small we need to re-compute s(ybar). Also, we must assume y normally distributed. s(ybar) = 0.3/sqrt(9) = 0.3/3 = 0.1 We need to compute the t value: t = (12.2-12.5)/0.1 = -0.3/0.1 = -3 We need to find the area under the student t curve for t less than -3. From the t table, since we have 9 degrees of freedom, this is between 1% and 0.5%. Hence the p-value is between 1% and 0.5% or (as a probability) between 0.01 and 0.005. b. Is this significant, highly significant, or non-significant? Highly significant