The director of research and development is testing a new drug. She wants to know if there is evidence at the 0.02 level that the drug stays in the system for more than 319 minutes. For a sample of 68 patients, the mean time the drug stayed in the system was 324 minutes. Assume the population variance is known to be 625.
Step 1 of 6: State the null and alternative hypotheses.
Step 2 of 6:
Find the value of the test statistic. Round your answer to two decimal places.
Step 3 of 6:
Specify if the test is one-tailed or two-tailed.
Step 4 of 6:
Find the P-value of the test statistic. Round your answer to four decimal places.
Step 5 of 6:
Identify the level of significance for the hypothesis test.
Step 6 of 6:
Make the decision to reject or fail to reject the null hypothesis.
1)
H0: = 319
Ha: > 319
2)
Test statistics
z = ( - ) / sqrt ( / n)
= ( 324 - 319 ) / sqrt ( 625 / 68)
= 1.65
3)
This is one tailed test.
4)
p-value = P(Z > z)
= 1 - P(Z < z)
= 1 - P(Z < 1.65)
= 1 - 0.9505
= 0.0495
5)
Level of significance = 0.02
6)
Since p-value > 0.02 level, fail to reject the null hypothesis
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