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.
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
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
100%
- 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 |
|
-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 |
|
9.10 |
10.00 |
8.30 |
|
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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