Construct hypothesis test to determine if the herbal supplement is effective in achieving weight loss in obese males. Test at 5% significance level. Show calculations of test stastistic and p value. A study was conducted to determine if taking a popularly advertised herbal supplement will result in weight loss in obese males. A random sample of clinically obese males was obtained. Each subject was weighedbefore taking the supplement and again after 60 days using the supplement. Subjects were told not to alter their diet in any way during the study period. The following table shows the observed results for the 6subjects:Subject11123145meanstandard deviationsample sizeBefore (B)After (A)164172186166174178173.33338.066391166154Difference (B-A)176170160168165.66677.73735518107.6666678.801515

Given that, The random sample of clinically obese males was obtained. Each subject was weighed…

Answered: Construct hypothesis test to determine…

Construct hypothesis test to determine if the herbal supplement is effective in achieving weight loss in obese males. Test at 5% significance level. Show calculations of test stastistic and p value.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

Construct hypothesis test to determine if the herbal supplement is effective in achieving weight loss in obese males. Test at 5% significance level. Show calculations of test stastistic and p value.

A study was conducted to determine if taking a popularly advertised herbal supplement will result in weight loss in obese males. A random sample of clinically obese males was obtained. Each subject was weighed
before taking the supplement and again after 60 days using the supplement. Subjects were told not to alter their diet in any way during the study period. The following table shows the observed results for the 6
subjects:
Subject
11
12
3
14
5
mean
standard deviation
sample size
Before (B)
After (A)
164
172
186
166
174
178
173.3333
8.066391
166
154
Difference (B-A)
176
170
160
168
165.6667
7.737355
18
10
7.666667
8.801515

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