A researcher would like to evaluate the effectiveness of a pain-relief patch designed for back pain. Prior to testing the patch, each of n = 8 patients rates their current level of back pain on a scale from 1 to 10. After wearing the patch for 90 minutes, a second pain rating is recorded. The data are as follows:                  Before  After                      6         2                      8         3                      9         4                      8         1                    10         2                      5         3                      9         8                      7         7   a. Compute the mean and variance for the sample of difference scores. ​ b. Do the results indicate that the pain-relief patch has an effect? Use a two-tailed test with α = .05 ​ c. Compute Cohen’s d to measure the size of the effect.

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A researcher would like to evaluate the effectiveness of a pain-relief patch designed for back pain. Prior to testing the patch, each of n = 8 patients rates their current level of back pain on a scale from 1 to 10. After wearing the patch for 90 minutes, a second pain rating is recorded. The data are as follows:

                 Before  After

                     6         2

                     8         3

                     9         4

                     8         1

                   10         2

                     5         3

                     9         8

                     7         7

 

a. Compute the mean and variance for the sample of difference scores.

b. Do the results indicate that the pain-relief patch has an effect? Use a two-tailed test with α = .05

c. Compute Cohen’s d to measure the size of the effect.

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