Explanation:
Part 1:
The claim is that pneumonia causes weight loss in mice.
H0 (null hypothesis): The mean difference in weights (before and after) is equal to zero.
Ha (alternative hypothesis): The mean difference in weights (before and after) is less than zero.
Answer: C. Pneumonia causes weight loss in mice.
Part 2:
Since the alternative hypothesis is that the mean difference is less than zero (weight loss), the rejection region is on the left side of the t-distribution.
We will perform a one-tailed test.
The critical value for a one-tailed test with a significance level of 0.10 and 5 degrees of freedom is approximately -1.833.
Answer: B. t < -1.833
Part 3:
To calculate d- (the mean difference) and sd (standard deviation of the differences):
d- = Σ (Weight_after - Weight_before) / n
= (21.6 - 21.7) + (21.7 - 21.6) + (22.4 - 22.6) + (19.6 - 19.5) + (22.2 - 22.2) + (23.6 - 23.6) / 6
= -0.033
sd = √[ Σ (Weight_after - Weight_before - d-)² / (n-1) ]
= √[ (-0.033 - (-0.033))² + (-0.033 - (-0.033))² + (-0.033 - (-0.033))² + (-0.033 - (-0.033))² + (-0.033 - (-0.033))² + (-0.033 - (-0.033))² / (6-1) ]
= 0
Note: The standard deviation (sd) is zero because all the differences are the same.
The standardized test statistic t is calculated as:
t = d- / (sd / √n)
= -0.033 / (0 / √6)
= undefined
Answer: d- = -0.033, sd = 0, t = undefined
Part 4:
Since the t-value is undefined (division by zero), we cannot calculate the test statistic. Therefore, we cannot make a decision to reject or fail to reject the null hypothesis.
The interpretation is that there is not enough evidence to support or reject the claim that pneumonia causes weight loss in mice based on the given data.