In: Statistics and Probability
A scientist claims that pneumonia causes weight loss in mice. The table shows the weights (in grams) of six mice before infection and two days after infection. At
alphaαequals=0.050.05,
is there enough evidence to support the scientist's claim? Assume the samples are random and dependent, and the population is normally distributed. Complete parts (a) through (e) below.
| 
 Mouse  | 
 1  | 
 2  | 
 3  | 
 4  | 
 5  | 
 6  | 
|
|---|---|---|---|---|---|---|---|
| 
 Weight (before)  | 
 22.622.6  | 
 19.519.5  | 
 22.622.6  | 
 23.423.4  | 
 21.921.9  | 
 22.622.6  | 
|
| 
 Weight (after)  | 
 22.522.5  | 
 19.619.6  | 
 22.522.5  | 
 23.323.3  | 
 21.921.9  | 
 22.522.5  | 
The table given below ,
| Mouse | Weight (before) (X) | Weight (after)(Y) | di=X-Y | di^2 | 
| 1 | 22.6 | 22.5 | 0.1 | 0.01 | 
| 2 | 19.5 | 19.6 | -0.1 | 0.01 | 
| 3 | 22.6 | 22.5 | 0.1 | 0.01 | 
| 4 | 23.4 | 23.3 | 0.1 | 0.01 | 
| 5 | 21.9 | 21.9 | 0 | 0 | 
| 6 | 22.6 | 22.5 | 0.1 | 0.01 | 
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From table ,


Let , 
Hypothesis : 
 VS 
 (Claim)
The test statistic is ,

The critical value is ,
; From Excel "=TINV(2*0.05,5)"

Decision : Here , the value of the test statistic does not lies in the rejection region
Therefore , fail to reject the null hypothesis.
Conclusion : Hence , there is not sufficient evidence to support the scientist claim that the pneumonia causes weight loss in mice.