Calculate descriptive statistics for the variable weight loss by dietary intervention. used weight loss kg   Low Carbohydrate Low Fat Mediterranean Mean -2.9269 -3.1423 -5.4654 Median -2.9500 -3.4000 -5.8500 Standard Deviation 2.02436 2.49835 2.36439 Variance 4.098 6.242 5.590 Minimum -8.50 -7.90 -9.20 Maximum 0.60 2.10 -0.90 Range 9.10 10.00 8.30 Interquartile Range 2.55 3-15 3.75 Skew -0.631 0.284 0.338 Kurtosis 0.982 -0.266 -0.753   Selection of parametric or non-parametric methods. Based on your exploration of the variable weight loss, do you believe that the distribution of this variable is “normal”? In other words … do you think that parametric methods, which have “normality” as an underlying assumption of the statistical tests, are appropriate for analyzing your primary research question? Justify your answer.

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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  • Calculate descriptive statistics for the variable weight loss by dietary intervention. used weight loss kg
 

Low Carbohydrate

Low Fat

Mediterranean

Mean

-2.9269

-3.1423

-5.4654

Median

-2.9500

-3.4000

-5.8500

Standard Deviation

2.02436

2.49835

2.36439

Variance

4.098

6.242

5.590

Minimum

-8.50

-7.90

-9.20

Maximum

0.60

2.10

-0.90

Range

9.10

10.00

8.30

Interquartile Range

2.55

3-15

3.75

Skew

-0.631

0.284

0.338

Kurtosis

0.982

-0.266

-0.753

 

  • Selection of parametric or non-parametric methods.

Based on your exploration of the variable weight loss, do you believe that the distribution of this variable is “normal”? In other words … do you think that parametric methods, which have “normality” as an underlying assumption of the statistical tests, are appropriate for analyzing your primary research question? Justify your answer. 

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