Hypothesis Test - Emergency Room Waiting Times
Hypothesis Test - Emergency Room Waiting Times
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).
12 years ago
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