Chi-square test of independance
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This utility can be used to apply chi square test of independence, to test whether two categorical variable (each having >=2 levels or categories) are independent of each other.
Formula used and other details
Number of groups (rows) in your study (r)
Required
Total Number of groups in your study. (No. of rows. Should be > = 2.)
Number of columns in your table (c)
Required
Number of possible subgroups for each group in your study. (No. of Columns)
Observed values in your study.
Observed values in your r x c table.
Significance level (Alpha or Type I error) %
%
Enter positive number between 0.01 to 99.99
Required
In percentage. Commonly used values are 5, 1, 10.