A pharmaceutical company wants to test the effectiveness of new medication for arthritis pain. Eight randomly selected patients with arthritis are asked to rate their pain on a scale of 1-10 (1 is no pain and 10 is maximum pain) before taking the medication. These same eight patients are then given the medication and one hour later are asked to rate their pain on a scale of 1-10 again. The data are below. Test the hypothesis that the new medication leads to a significant decrease in the mean pain rating. (Hint: you'll see a lot of negative values to show that pain has decreased.) Use .05 as the level of significance.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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A pharmaceutical company wants to test the
effectiveness of new medication for arthritis pain.
Eight randomly selected patients with arthritis are
asked to rate their pain on a scale of 1-10 (1 is no pain
and 10 is maximum pain) before taking the
medication. These same eight patients are then given
the medication and one hour later are asked to rate
their pain on a scale of 1-10 again. The data are
below. Test the hypothesis that the new medication
leads to a significant decrease in the mean pain
rating. (Hint: you'll see a lot of negative values to
show that pain has decreased.) Use .05 as the level of
significance.
Patient 1
3
4
6
8
Before 7
9-
8.
10
8.
6.
After
6.
9.
85
75
4.
2.
Transcribed Image Text:A pharmaceutical company wants to test the effectiveness of new medication for arthritis pain. Eight randomly selected patients with arthritis are asked to rate their pain on a scale of 1-10 (1 is no pain and 10 is maximum pain) before taking the medication. These same eight patients are then given the medication and one hour later are asked to rate their pain on a scale of 1-10 again. The data are below. Test the hypothesis that the new medication leads to a significant decrease in the mean pain rating. (Hint: you'll see a lot of negative values to show that pain has decreased.) Use .05 as the level of significance. Patient 1 3 4 6 8 Before 7 9- 8. 10 8. 6. After 6. 9. 85 75 4. 2.
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