To calculate if there is a significant difference in variation between two data-sets. This test is robust when the data is not normally distributed. It calculates the Levene variation test between this column and the comparing column.

Interpretation

The smaller the p value is the more likely there is a significant difference in variation between the data-sets.

Develve uses the commonly accepted value of p < 0.05 for significance.

If the data-sets is normally distributed use the Variation F-test

For this test is no minimum sample size (power) calculation

With the W value and the degrees of freedom can the program calculate the p value.

Legend

Mean of all data
Mean group
total number of samples
number of samples in group
number of groups

Example

Select Variation test. To use the Levene test first select "non normal distributed" when the box is not selected the F-test is calculated. Then select Diff variation. In this example C and D are significantly different in variance compared to A.

To calculate if there is a significant difference in variation between two or more data-sets. This test is also robust when the data is not normally distributed. It calculates the Levene variation test between the selected columns.

Interpretation

The smaller the p value is the more likely there is a significant difference of one ore more of the selected data-sets.

Develve uses the commonly accepted value of p < 0.05 for significance.

For this test is no minimum sample size (power) calculation

Colors of the cells

Green

No significant difference

Yellow

Significant difference

formula

With the W value and the degrees of freedom the program can calculate the p value out of the F distribution.

Legend

Mean of all data
Mean group
total number of samples
number of samples in group
number of groups

Example

To use the Multiple Levene test "Menu: Tools=> Multiple Levene test". Then select the data-sets to compare. In this example there no significantly different in variance in the selected columns.