In: Statistics and Probability
Use the following data related to the same population and determine if the selected independent variable is affecting the dependent variable. Variable (27,29,32,31,26,25)
Use an alpha of 5% for ANOVA and Correlation Coefficient. Use excel for the results. Explain the outcome.
Data Sample:
30, 27, 24, 21,27,32
25, 21, 22, 28, 30, 31
26,25,25, 21, 22, 20
31, 29, 24,22,20. 29
ANOVA:
Input data in the following manner. Go to Data, select Data Analysis, choose Anova: Single Factor grouping by columns.
Dependent | ||||||
27 | 29 | 32 | 31 | 26 | 25 | |
1 | 30 | 27 | 24 | 21 | 27 | 32 |
2 | 25 | 21 | 22 | 28 | 30 | 31 |
3 | 26 | 25 | 25 | 21 | 22 | 20 |
4 | 31 | 29 | 24 | 22 | 20 | 29 |
Anova: Single Factor | ||||||
SUMMARY | ||||||
Groups | Count | Sum | Average | Variance | ||
27 | 4 | 112 | 28 | 8.67 | ||
29 | 4 | 102 | 25.5 | 11.67 | ||
32 | 4 | 95 | 23.75 | 1.58 | ||
31 | 4 | 92 | 23 | 11.33 | ||
26 | 4 | 99 | 24.75 | 20.92 | ||
25 | 4 | 112 | 28 | 30 | ||
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
Between Groups | 89.5 | 5 | 17.90 | 1.28 | 0.32 | 2.77 |
Within Groups | 252.5 | 18 | 14.03 | |||
Total | 342 | 23 |
H0: µ1 = µ2 = µ3 = µ4 = µ5 = µ6,Independent variable is not affecting the dependent variable
H1: At least one µi is different,Independent variable is affecting the dependent variable
p-value = 0.32
Since p-value is more than 0.05, we do not reject the null hypothesis and conclude that independent variable is not affecting the dependent variable.