Bartlett's test is useful when executing a comparison between two or more samples to specify whether they are taken from populations with equal variance. Bartlett's test works successfully for normally distributed data. This test includes a null hypothesis, with a calculation of equal variances, and the alternative hypothesis, where variances are not considered equal. This test is considered useful for checking the assumptions regarding variance analysis.
The user can perform Bartlett's test with the bartlett.test function in R. The normal syntax for this is as follows :
> bartlett.test(values~groups, dataset)
Here, the parameters refer to the following:
- values: The name of the variable containing the data value
- groups: The name of the variable that specifies which sample each value belongs to
If the data is in an unstacked form (with...
