Sample Size - Power - Tests of Significance

This is a free website you can use to apply a statistical test of significance, determine sample size, statistical power for your research project.

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Sample Size Determination
Purpose Objective
Estimation of a parameter with specified precision Estimation of a mean with specified precision Estimation of a proportion / prevalence with specified precision
Estimation of difference with specified precision Estimation of difference between two means with specified precision Estimation of difference between two proportions with specified precision
Estimation of an effect size in Case Control or Cohort study with specified precision Estimation of Odds Ratio in Case Control Study with specified precision Estimation of Relative Risk in Cohort Study with specified precision
Estimation of Pearson's Correlation Coefficient with specified precision Estimation of Kappa statistics with specified precision
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)
Other Situations Evaluation of a diagnostic test
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.)
Sample Size Determination: Help
Purpose Objective
Estimation of a parameter with specified precision Estimation of a mean with specified precision Estimation of a proportion / prevalence with specified precision
Estimation of an effect size in Case Control or Cohort study with specified precision Estimation of Odds Ratio in Case Control Study with specified precision Estimation of Relative Risk in Cohort Study with specified precision
Estimation of Pearson's Correlation Coefficient with specified precision Estimation of Kappa statistics with specified precision
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)
Other Situations Evaluation of a diagnostic test
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.)
How to cite this website: Mumbare Sachin, 2023, Sample size determination, accessed on xxx, available on https://drsm.in
@Sachin Mumbare
Please feel free to contact sachin@drsm.in for any querries.
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