The null hypothesis in a chi-square test states independence between variables. There is no relationship between the two of them. The correct option is A) True.
The chi-square test is a mathematical procedure used to evaluate if there is a significant difference between expected and observed results in one or more categories.
It is a non-parametric test to analyze the differences between categorical variables in the same population.
The test compares real data with expected data if the null hypothesis was true. In this way, the test determines if the difference between observed and expected data are by chance or if this difference is due to a relationship between the involved variables.
This independence test searches for the association between two variables in the same population. It determines the existence or not of independence between two variables.
So the test compares two hypotheses, the null one and the alternative one.
According to this information, we can assume that the statement
The null hypothesis for a chi-square contingency test of independence for two variables always assumes the variables are independent
is true.
Option A is correct. True.
You can learn more about the chi square test at
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