Please do question by hand (not in R). Show enough work for me to understand. Thanks.
Claim: Growth hormone therapy increases heat insoluble hydroxyproline in the skin.
That means difference(d) = After - Before is more, that is greater than 0
Therefore the claim is
Steps of hypothesis testing:
Step 1: To set the null and alternative hypothesis
The null and alternative hypothesis are,
Step 2: Test statistics
Here the sample of 7 is given so t test is applicable
The formula of t test statistics is,
Where
n - number of pairs = 7
Difference = After - Before
The differences are 76, 133, -158, 138, -111, 0, 14
Plug all the values in the formula of test statistics,
Step 3: Critical value
Here the alternative hypothesis contains > sign so the test is right tailed test.
Significance level (alpha) is not mentioned so take it as 0.05
So the critical value using the t table, see alpha 0.05 in one tail area and DF = 6, so the corresponding critical value is 1.943
Step 4: Decision
Decision rule: If t critical value > t test statistics then we fail to reject the null hypothesis otherwise reject the null hypothesis.
Here t critical value (1.943) is > t test statistics (0.303), so we fail to reject the null hypothesis.
Step 5: Conclusion
Here we fail to reject the null hypothesis that is not in favor of claim which is in alternative hypothesis.
There is no sufficient evidence to support the claim that, growth hormone therapy increases heat insoluble hydroxyproline in the skin.
Please do question by hand (not in R). Show enough work for me to understand. Thanks....
Please do work by hand (not in R) and show enough work so I can
understand how to do it myself. Thanks.
1. The data in Table 3.3 are a subset of the data obtained by Kaneto, Kosaka, and Nakao (1967). The experiment investigated the effect of vagal nerve stimulation on insulin secretion. The subjects were mongrel dogs with varying body weights. Table 3.3 gives the amount of immunoreactive insulin in pancreatic venous plasma just before stimulation of the left...