The null hypothesis for the chisquare test for independence

The null hypothesis for the chi-square test for independence is often stated as:

1. The means of the groups are NOT equal

2. p1>p2

3. The distribution of the outcome is independent of the groups

4. The distribution of the outcome matches a hypothesized distribution

Solution

Answer: 3. The distribution of the outcome is independent of the groups

Reason: A chi square test of independence is used to test whether outcomes are affected due to groupings within a population.

For example, are SAT scores independent of Gender (male and female).

Null hypothesis states that the outcomes are independent of the groups.

Alternate hypothesis states that outcomes are not independent of the groups.