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With a sample size n=250. Use the pooled data to test whether the distribution of the percent wound healing is approximately normal.  Specifically use the following distribution : 30%, 40%, 20% and 10% and =0.05 to run the appropriate test. We will be doing a goodness fit test. This is a categorical or ordinal outcome. Use the pooled data to test whether the distribution of the percent wound healing is approximately normal. How to do problem in EXCEL?                                              Percent Wound Healing             Treatment 0-25% 26-50% 51-75% 76-100% Total Number of Patients 51 82 66 51 250

With a sample size n=250. Use the pooled data to test whether the distribution of the percent wound healing is approximately normal.  Specifically use the following distribution : 30%, 40%, 20% and 10% and =0.05 to run the appropriate test. We will be doing a goodness fit test. This is a categorical or ordinal outcome. Use the pooled data to test whether the distribution of the percent wound healing is approximately normal. How to do problem in EXCEL?                                              Percent Wound Healing             Treatment 0-25% 26-50% 51-75% 76-100% Total Number of Patients 51 82 66 51 250

MATLAB: An Introduction with Applications
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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With a sample size n=250. Use the pooled data to test whether the distribution of the percent wound healing is approximately normal.  Specifically use the following distribution : 30%, 40%, 20% and 10% and =0.05 to run the appropriate test. We will be doing a goodness fit test. This is a categorical or ordinal outcome. Use the pooled data to test whether the distribution of the percent wound healing is approximately normal. How to do problem in EXCEL?

 

                                           Percent Wound Healing

 

 

 

 

 

 

Treatment

0-25%

26-50%

51-75%

76-100%

Total

Number of Patients

51

82

66

51

250

 

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