A dietitian wishes to see if a person’s cholesterol level will change if the diet is supplemented by a certain mineral. Six randomly selected subjects were pretested, and then they took the mineral supplement for a 6-week period. The results are shown in the table. (Cholesterol level is measured in milligrams per deciliter.) Can it be concluded that the cholesterol level has been changed at α = 0.10? Assume the variable is approximately normally distributed.Subject123456Before (x1)210235208190172244After (x2)190170210188173288Required Steps: Step 1: Label all given information.Step 2:State the null and alternative hypothesis and identify the claim.Step 3:Verify that the conditions are met to perform the test.Step 4:Sketch the normal distribution and find the critical regions.Step 5:Compute the test statistic.Step 6:Make a decisionStep 7:Summarize the results.

Name: A dietitian wishes to see if a person’s cholesterol level will change
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Description: A dietitian wishes to see if a person’s cholesterol level will change if the diet is supplemented by a certain mineral. Six randomly selected subjects were pretested, and then they took the mineral supplement for a 6-week period. The results are show

The given data set is: Before After Before-After 210 190 20 235 170 65…

Answered: A dietitian wishes to see if a person’s…

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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A dietitian wishes to see if a person’s cholesterol level will change if the diet is supplemented by a certain mineral. Six randomly selected subjects were pretested, and then they took the mineral supplement for a 6-week period. The results are shown in the table. (Cholesterol level is measured in milligrams per deciliter.) Can it be concluded that the cholesterol level has been changed at α = 0.10? Assume the variable is approximately normally distributed.

Subject	1	2	3	4	5	6
Before (_x1)	210	235	208	190	172	244
After _(x2)	190	170	210	188	173	288

Required Steps:

Step 1: Label all given information.

Step 2:State the null and alternative hypothesis and identify the claim.

Step 3:Verify that the conditions are met to perform the test.

Step 4:Sketch the normal distribution and find the critical regions.

Step 5:Compute the test statistic.

Step 6:Make a decision

Step 7:Summarize the results.

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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