The director of research and development is testing a new medicine. She wants to know if there is evidence at the 0.025 level that the medicine relieves pain in more than 318 seconds. For a sample of 7 patients, the average time in which the medicine relieved pain was 324 seconds with a standard deviation of 23. Assume the population distribution is approximately normal.
Step 1 of 5: State the null and alternative hypotheses.
Step 2 of 5: Find the value of the test statistic. Round your answer to three decimal places.
Step 3 of 5: Specify if the test is one-tailed or two-tailed.
Step 4 of 5: Determine the decision rule for rejecting the null hypothesis. Round your answer to three decimal places.
Step 5 of 5: Make the decision to reject or fail to reject the null hypothesis.
Step 1: Here claim is that mean is more than 318 seconds
As we know null hypothesis always have equality sign, hypothesis are
vs
Step 2: As it is given that distribution is normal, test statistics is
Step 3: As alternative hypothesis is right tailed test, it is one tailed test
Step 4: The t-critical value for a right-tailed test, for a significance level of α=0.025 is
tc=2.447
Graphically
So if t statistics >tcritical reject the null hypothesis
Step 5: Here we see that t statistics=0.69<tcritical=2.447
Hence we fail to reject the null hypothesis
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