Our site contains a lot of Statistical Calculators that can greatly help you with all of your academic needs. Our solvers include Probability Calculators, Hypothesis Test solvers, non-parametric tests, etc. If you have any suggestion about solvers that should be included, please do not hesitate to **contact us**.

You can can use the search box below to find a specific Stats solver you are looking for, or you can browse below for any solver that catches your eye.

## Mean Squared Deviation Calculator

Instructions: Enter the sample data below and this calculator will provide step-by-step calculation of the Mean Squared Deviation, using the form below; X values (comma or space separated) = Name of the random variable (Optional) Mean Squared ...

## R Squared to Adjusted R Squared calculator

Instructions: Use this calculator to compute the adjusted R-Squared coefficient from the R-squared coefficient. Please input the R-Square coefficient ((R^2)), the sample size ((n)) and the number of predictors (without including the constant), in ...

## Adjusted R Squared Calculator for Multiple Regression

Instructions: Use this calculator to compute the adjusted R-Squared coefficient for a multiple linear regression. Please input the data for the independent variables ((X_i\'s)) and the dependent variable ((Y)), in form below: Dependent variable ...

## Adjusted R Squared Calculator for Simple Regression

Instructions: Use this calculator to compute the adjusted R-Squared coefficient for a simple linear regression. Please input the data for the independent variable ((X)) and the dependent variable ((Y)), in the form below: Independent variable (X) ...

## Finite Population Correction Calculator

Instructions: Use this calculator to estimate the effect of a finite population on the calculation of the standard error. Please provide the standard deviation ((sigma)), the sample size ((n)), and the population size ((N)), in the form below: ...

## McNemar’s Test Calculator

Instructions: This calculator computes the results of applying McNemar\'s Test to paired nominal data, in order to assess the level of association between the paired responses, using the form below: Column 1Column 2 Row 1 Row 2 Significance level ( ...

In case you have any suggestion, or if you would like to report a broken solver/calculator, please do not hesitate to **contact us**.