How do i know when to reject or accept a chi- square hypothesis.
You reject the null hypothesis when the data shows that there is statistical significance.
If you’re looking at a graph, and the standard error bars do NOT overlap, that means there is enough evidence to believe that your independent and dependent variable are correlated, and you can then reject the null.
When looking at a chi-square analysis table, you’ll see a critical value. If your value is higher than of the corresponding critical value for the degrees of freedom you have, you can reject the null.
Please note that you are not obligated to memorize the degrees of freedom and corresponding critical values. If needed, they will give you a chart.
I hope this helps!
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thank you!!
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