Statistical power calculation
Chi-square test of independance
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This utility can be used to calculate statistical power gained with available sample size, when your aim is to test whether there is significant difference between more than two proportions. (Test of significance: Chi-Square test of independance).
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.
Confidence Level %
Enter positive number between 0.01 to 99.99
Required
In percentage. Commonly used values are 95, 99 and 90. Should be between 0.01 to 99.99.
Power ( 1 - β) =
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