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.
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
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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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