Stastistical Power Determination

This is a free website you can use to calculate statistical power for your research project.

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Statistical Power Determination
Purpose	Objective
Hypothesis Testing - One Sample	Significant difference between sample mean and hypothetical / known value	Significant difference between sample proportion and hypothetical / known value
Hypothesis Testing - Two independent Samples	Significant difference between two sample means	Significant difference between two sample Proportions
Hypothesis Testing - More than Two independent Samples	Significant difference between more than two sample means (ANOVA)	Significant difference between more than two sample proportions (m x n table) (Chi square test of independence) Significant difference between group proportions and expected / known proortions(Chi square test of Goodness of fit)
Clinical Trial - Superiority Design	Outcome variable: Ratio	Outcome variable: Nominal
Clinical Trial - Non-Inferiority Design	Outcome variable:Ratio	Outcome variable: Nominal
Clinical Trial - Equivalence Design	Outcome variable:Ratio	Outcome variable: Nominal
Case-Control or Cohort Studies	Odds Ratio is Significantly different than 1 (Significant OR)	Relative Risk is Significantly different than 1 (Significant RR)
Simple or Multiple Linear Regression.	Simple or Multiple Linear Regression. (R squared > 0)	Simple or Multiple Linear Regression. (Change in R squared > 0, when more predictors are added.)

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Statistical Power Determination: Help
Purpose	Objective
Hypothesis Testing - One Sample	Significant difference between sample mean and hypothetical / known value	Significant difference between sample proportion and hypothetical / known value
Hypothesis Testing - Two independent Samples	Significant difference between two sample means	Significant difference between two sample Proportions
Hypothesis Testing - More than Two independent Samples	Significant difference between more than two sample means (ANOVA)	Significant difference between more than two sample proportions (m x n table) (Chi square test of independence) Significant difference between group proportions and expected / known proortions(Chi square test of Goodness of fit)
Clinical Trial - Superiority Design	Outcome variable: Ratio	Outcome variable: Nominal
Clinical Trial - Non-Inferiority Design	Outcome variable:Ratio	Outcome variable: Nominal
Clinical Trial - Equivalence Design	Outcome variable:Ratio	Outcome variable: Nominal
Case-Control or Cohort Studies	Odds Ratio is Significantly different than 1 (Significant OR)	Relative Risk is Significantly different than 1 (Significant RR)
Simple or Multiple Linear Regression.	Simple or Multiple Linear Regression. (R squared > 0)	Simple or Multiple Linear Regression. (Change in R squared > 0, when more predictors are added.)