The director of research and development is testing a new drug. She wants to know if there is evidence at the 0.050.05 level that the drug stays in the system for less than 397 minutes. For a sample of 62 patients, the mean time the drug stayed in the system was 392 minutes. Assume the population standard deviation is 18. 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.
The director of research and development is testing a new drug. She wants to know if there is evidence at the 0.050.05 level that the drug stays in the system for less than 397 minutes. For a sample of 62 patients, the mean time the drug stayed in the system was 392 minutes. Assume the population standard deviation is 18. 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.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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The director of research and development is testing a new drug. She wants to know if there is evidence at the 0.050.05 level that the drug stays in the system for less than 397 minutes. For a sample of 62 patients, the
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.
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