Two researchers (A and B) compute a one-sample t test. For both tests, the mean difference between the sample and value stated in the null hypothesis is 5, but the standard error is smaller for Researcher A. Which test is more likely to result in a decision to reject the null hypothesis?
Researcher A. test is more likely to result in a decision to reject the null hypothesis
Explanation:
Let
the standard error for Researcher A.= x
the standard error for Researcher B.= y
Given:
X < y
Also given:
= 5
So,
Test Statistic for Researcher A.is given by:
Test Statistic for Researcher B.is given by:
Since x< y, we note:
The hypothesis is rejected if t > tcrit
Since is greater of the 2 test statistics, we conclude that Researcher A. test is more likely to result in a decision to reject the null hypothesis
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