Semi-Partial Correlation Calculator
Instructions: This tool will show you step-by-step calculations of the semi-partial correlations for three variables \(X_1\), \(X_2\) and \(X_3\). Please type your samples, using either...
Statistics Solver
Partial Correlation Calculator
Instructions: You can use this tool to compute the corresponding Partial Correlations for three variables \(X_1\), \(X_2\) and \(X_3\). All you have to do is...
Coefficient of Variation Calculator
Instructions: In order to use this Coefficient of Variation, please provide the sample data below and this solver will provide step-by-step calculation of the CV:...
Correlation Coefficient Significance Calculator using p-value
Instructions: Enter the sample correlation \(r\), sample size \(n\) and the significance level \(\alpha\), and the solver will test whether or not the correlation coefficient...
Correlation Matrix Calculator
Instructions: This correlation matrix calculator will provide you with a correlation matrix for a given set of samples. Please type in the box below two...
Outlier Calculator
Instructions: Use this outlier calculator by entering your sample data. This calculator will show you all the steps to apply the "1.5 x IQR" rule...
Normal Probability Plot Maker
Instructions: Use this Normal Probability Plot maker by entering the sample data below and this statistics calculator will provide step-by-step calculation of the required elements...
Inverse Cumulative Standard Normal Probability Calculator
Instructions: Compute the inverse cumulative score for the standard normal probability distribution. Provide a cumulative probability \(p\) (a value on the interval [0, 1]), and...
Power Calculator Minimum Sample Size – Testing for One Mean
Instructions: This power calculator computes, showing all the steps, the minimum required sample size (\(n\)) to reach a given target statistical power (\(1-\beta\)), when testing...
Power Calculator – Testing for One Mean
Instructions: This power calculator computes, showing all the steps, the probability of making a type II error (\(\beta\)) and the statistical power (\(1-\beta\)) when testing...