Consider the following data from a repeated-measures design. You want to use a repeated-measures t test to test the null hypothesis H0: µD = 0 (the null hypothesis states that the mean difference for the general population is zero). The data consist of five observations, each with two measurements, A and B, taken before
Consider the following data from a repeated-measures design. You want to use a repeated-measures t test to test the null hypothesis H0: µD = 0 (the null hypothesis states that the
| Observation | A | B |
| 1 | 1 | 3 |
| 2 | 3 | 4 |
| 3 | 5 | 7 |
| 4 | 4 | 4 |
| 5 | 8 | 9 |
You conduct a two-tailed test at ?α = .05. To find the critical value (in the table) you first need to get the degrees of freedom, which is ["", "", ""]
The critical values (the values for t-scores that separate the tails from the main body of the distribution, forming the critical region) are ± ["", "", "", ""]
Based on this our finding ["", ""] significant and we ["", ""] the null hypothesis.
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