Consider the following data from a repeated-measures design. You want to use a repeated-measures t test to test the null hypothesis Ho. HD - 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 and after a treatment. Assume the population of the differences in these measurements are normally distributed. A B Observation 1 3 2 4 3. 7 4 4 4 5 8 9 You conduct a two-tailed test at a = .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 v significant and we the null hypothesis.

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Consider the following data from a repeated-measures design. You want to use a repeated-measures t test to test the null hypothesis Ho: HD = 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 and after a treatment. Assume the population of the differences in these measurements are normally distributed.
A B
Observation
1
1
3
4
3
7
4
4
4
5
8
9
You conduct a two-tailed test at a = .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
v significant and we
the null hypothesis.
Transcribed Image Text:Consider the following data from a repeated-measures design. You want to use a repeated-measures t test to test the null hypothesis Ho: HD = 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 and after a treatment. Assume the population of the differences in these measurements are normally distributed. A B Observation 1 1 3 4 3 7 4 4 4 5 8 9 You conduct a two-tailed test at a = .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 v significant and we the null hypothesis.
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