A group of eight individuals with high cholesterol levels were given a new drug that was designed to lower cholesterol levels. Cholesterol levels, in mg/dL, were measured before and after treatment for each individual, with the following results:
Subject | Before | After |
1 | 283 | 215 |
2 | 299 | 206 |
3 | 274 | 179 |
4 | 284 | 212 |
5 | 240 | 178 |
6 | 275 | 212 |
7 | 293 | 192 |
8 | 277 | 196 |
Can you conclude that the mean cholesterol level after treatment is less than the mean before treatment? Find the P-value and state a conclusion.
Since (Click to select) 0.005 < P < 0.01 0.05 < P < 0.10 0.001 < P < 0.005 0.01 < P < 0.025 0.0005 < P < 0.001 P > 0.40 0.25 < P < 0.40 0.025 < P < 0.05 P < 0.0005 0.10 < P < 0.25 , we (Click to select) can cannot conclude that the mean cholesterol level after treatment is less than the mean before treatment.
The table given below,
Subject | Before | After | di=Before-After | di^2 |
1 | 283 | 215 | 68 | 4624 |
2 | 299 | 206 | 93 | 8649 |
3 | 274 | 179 | 95 | 9025 |
4 | 284 | 212 | 72 | 5184 |
5 | 240 | 178 | 62 | 3844 |
6 | 275 | 212 | 63 | 3969 |
7 | 293 | 192 | 101 | 10201 |
8 | 277 | 196 | 81 | 6561 |
Sum | 635 | 52057 |
From table ,
Let ,
The null and alternative hypothesis is
The test is one tailed test.
THe test statistic is ,
Now , df=degrees of freedom=n-1=8-1=7
From t-table , The p-value is ,
p-value < 0.0005
Decision : Here , p-value < 0.05 level of significance.
Conclusion : Hence , we can conclude that the mean cholesterol level after treatment is less than the mean before treatment.
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