Question

$\text{How are tests of independence different from tests for homogeneity?}$

Short answer

The independence test evaluates whether which value-point seems independently of another and is based on a single population sample. On the other hand, the homogeneity test looks to see if different samples originate from the very same population. It contains two specimens, one from each population.

Step-by-step solution

Given Information

We have to explain the difference between the test of independence and the test for homogeneity

Explanation

The statement is that the row and column variables in the model of each other in the test for independence. This is thought to as the null hypothesis. If two events are independent, the chance of both occurring is the product of the odds of each occurring, according to the multiplication rule.