If your chi-square calculated value is greater than the chi-square critical value, then you reject your null hypothesis. If your chi-square calculated value is less than the chi-square critical value, then you fail to reject your null hypothesis.
What is significance level in chi-square?
Significance level. Often, researchers choose significance levels equal to 0.01, 0.05, or 0.10; but any value between 0 and 1 can be used. Use the chi-square test for independence to determine whether there is a significant relationship between two categorical variables.
Why cant chi-square be negative?
(Please note: a chi-square statistic cant be negative because nominal variables dont have directionality. If your obtained statistic turns out to be negative, you might want to check your math.)
What is the difference between chi-square and correlation?
So, correlation is about the linear relationship between two variables. Usually, both are continuous (or nearly so) but there are variations for the case where one is dichotomous. Chi-square is usually about the independence of two variables. Usually, both are categorical.
What is the application of chi-square test?
The Chi square test is used to compare a group with a value, or to compare two or more groups, always using categorical data.