Answer:
a. Test statistic t = -0.14
b. P-value = 0.443
c. D. Fail to reject H0. There is insufficient evidence to support the claim that those given a sham treatment have pain reductions that vary more than those treated with magnets.
Explanation:
This is a hypothesis test for the difference between populations means.
The claim is that those given a sham treatment have pain reductions that vary more than the pain reductions for those treated with magnets.
Then, the null and alternative hypothesis are:
![H_0: \mu_1-\mu_2=0\\\\H_a:\mu_1-\mu_2< 0](https://img.qammunity.org/2021/formulas/mathematics/college/zyb2veg87quoxxk3h7g69gl1785cq4o7vn.png)
The significance level is α=0.05.
The sample 1 (sham), of size n1=20 has a mean of 0.44 and a standard deviation of 1.24.
The sample 2 (magnet), of size n2=20 has a mean of 0.49 and a standard deviation of 0.95.
The difference between sample means is Md=-0.05.
![M_d=M_1-M_2=0.44-0.49=-0.05](https://img.qammunity.org/2021/formulas/mathematics/college/iloobktb4ewdrxkae3dzbefblk54uvktu7.png)
The estimated standard error of the difference between means is computed using the formula:
Then, we can calculate the t-statistic as:
The degrees of freedom for this test are:
This test is a left-tailed test, with 38 degrees of freedom and t=-0.14, so the P-value for this test is calculated as (using a t-table):
![P-value=P(t<-0.14)=0.443](https://img.qammunity.org/2021/formulas/mathematics/college/326pgql9rfp96177a94z57ks647lolzskp.png)
As the P-value (0.443) is greater than the significance level (0.05), the effect is not significant.
The null hypothesis failed to be rejected.
There is not enough evidence to support the claim that those given a sham treatment have pain reductions that vary more than the pain reductions for those treated with magnets.