A pharmaceutical firm has requested that a medical doctor observe whether a new version of a drug has actually shortened the length of time it takes for a patient to feel the benefits of the medication. It can be assumed that the reaction times for the drugs are normally distributed. A random sample of 15 subjects received the older version of the drug and had a mean reaction time of 80 minutes with standard deviation of 10 minutes. Another random sample of 10 subjects received the new version of the drug and had a mean reaction time of 65 minutes with standard deviation of 14 minutes. At the 1% level fo significance, test the hypothesis that the new version of the drug shortens the time until the drug benefits are felt.
The test hypothesis is
Now, the value of test static can be found out by following
formula:
Using Excel's function =T.DIST(t_0,n-1,TRUE), the P-value for
in an power-tailed t-test with 23 degrees of freedom can be
computed as
Since
, we fail to reject the null hypothesis
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