A researcher would like to evaluate the effectiveness of a pain-relief patch designed for lower back pain. Prior to testing the patch, each of n = 8 patients rates the 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 2 8. 3 9. 4 8. 10 2 5. 9. 8. 7 7 Do the results indicate a significant difference? Use a two-tailed test with a = .05 The mean for the sample of difference score is and the variance is . The standard error is the df is . Our calculated t-value is . For this reason we the null hypothesis.

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A researcher would like to evaluate the effectiveness of a pain-relief patch designed for lower back pain. Prior to testing the patch, each of n = 8
patients rates the 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.
4
8
1
10
2
3
9
7
Do the results indicate a significant difference? Use a two-tailed test with a = .05
The mean for the sample of difference score is
and the variance is
. The standard error is
the df is
Our calculated t-value is
. For this reason we
the null hypothesis.
Transcribed Image Text:A researcher would like to evaluate the effectiveness of a pain-relief patch designed for lower back pain. Prior to testing the patch, each of n = 8 patients rates the 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. 4 8 1 10 2 3 9 7 Do the results indicate a significant difference? Use a two-tailed test with a = .05 The mean for the sample of difference score is and the variance is . The standard error is the df is Our calculated t-value is . For this reason we the null hypothesis.
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