When we state that there is homogeneity of variance, precisely which variances are homogeneous? Explain using words.
Variance, defined for a Random Variable (RV), quantifies the spread of its underlying distribution. Homogeneity of variance applies in the context of multiple RVs. This property just means that the RVs under consideration have the same variance. Such an assumption plays a key role in inference.
Homogeneity of variance is an assumption underlying both t tests and F tests in which the population variances ( of two or more samples are considered equal.
To test for homogeneity of variance, there are several statistical tests that can be used. These tests include: Hartley’s Fmax
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