In: Statistics and Probability
Use SPSS® to check your mock data for the following: • Assumptions of normality (Shapiro-Wilk) • Homogeneity of variance (Lavene) • Outliers • Skewness/Kurtosis Complete each of the associated tasks below: 1) Create a series of tables that depict your results. Do not simply paste your output from SPSS®;
0.00 | 21.00 | |
0.00 | 21.00 | |
0.00 | 42.00 | |
0.00 | 18.00 | |
0.00 | 15.00 | |
0.00 | 24.00 | |
0.00 | 36.00 | |
0.00 | 36.00 | |
0.00 | 18.00 | |
0.00 | 24.00 | |
0.00 | 30.00 | |
0.00 | 39.00 | |
0.00 | 21.00 | |
0.00 | 15.00 | |
0.00 | 51.00 | |
0.00 | 24.00 | |
0.00 | 48.00 | |
0.00 | 18.00 | |
0.00 | 36.00 | |
0.00 | 24.00 | |
1.00 | 30.00 | |
1.00 | 27.00 | |
1.00 | 30.00 | |
1.00 | 33.00 | |
1.00 | 24.00 | |
1.00 | 15.00 | |
1.00 | 12.00 | |
1.00 | 30.00 | |
1.00 | 21.00 | |
1.00 | 54.00 | |
1.00 | 30.00 | |
1.00 | 18.00 | |
1.00 | 39.00 | |
1.00 | 30.00 | |
1.00 | 27.00 | |
1.00 | 24.00 | |
1.00 | 39.00 | |
1.00 | 18.00 | |
1.00 | 15.00 | |
1.00 | 21.00 | |
The SPSS output is:
The assumptions of normality are met.
The SPSS output is:
The Homogeneity of variance can be assumed for this data.
The SPSS output is:
There are no outliers in the data.
The data is positively skewed.
Kurtosis is the same for both factors.