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A hospital administrator is concerned about the waiting times for patients in the emergency room. She records the waiting times (in minutes) of a random sample of 32 patients, which are shown below: 133 263 99 192 401 318 202 120 136 195 167 237 89 238 186 137 256 172 333 210 158 74 165 321 219 124 203 371 136 160 81 192 From these data, the sample mean is calculated to be 196.5 minutes. Suppose the standard deviation of all waiting times in this emergency room is known to be 78.4 minutes. (a) We have no knowledge about whether waiting times follow a normal distribution. Why is it nevertheless appropriate to use inference methods which rely on the assumption of normality? (b) Construct a 97% confidence interval for the true mean emergency waiting time for this hospital. Explain how you find the critical value. (c) Provide an interpretation of the interval in (b). (d) Conduct a hypothesis test at the 3% level of significance to determine whether the true mean emergency room waiting time differs from 3 hours (i.e., 180 minutes). Show all of your steps, including the hypotheses, the calculation of the test statistic and P-value, and a properly worded conclusion. (e) Interpret the meaning of the P-value you calculated in (d). (g) Could the interval in (b) have been used to conduct the test in (d)? If no, explain why not. If yes, explain why, and explain what your conclusion would have been and why.
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