When working with paired data it is important to remember that your null and alternative are dependent on...
A) The direction of subtraction
B) The size of the samples
C)The number of populations
D) They are not dependent on anything
When working with paired data it is important to remember that your null and alternative are dependent on...
A) The direction of subtraction
Explanation:
When working with paired data it is important to remember that your null and alternative are dependent on the direction of subtraction, because subtraction decides how to construct the alternative hypothesis. For example, suppose we want to test the hypothesis that there is an improvement in scores of students after launching new method. In this case, if we use before minus after, then we will get negative test statistic and if we use after minus before, then we will get positive test statistic value. So, we can do this any way depends on the hypotheses we stated for that type of test.
Get Answers For Free
Most questions answered within 1 hours.