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.

## 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 ), and the solver will find the z-value \(z\) so that \(\Pr(Z \le z) = p\). ...

## 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 for a one population mean. You need to provide the significance level ...

## 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 for a one population mean. You need to provide the significance level ...

## Percentile Calculator for Grouped Data

Instructions: This percentile calculator for grouped data will calculate a percentile you specify, showing step-by-step, for the grouped sample data set provided by you in the form below. Grouped data is specified in class groups instead of ...

## Percentile Calculator

Instructions: This percentile calculator will calculate a percentile you specify, showing step-by-step, for a sample data set provided by you in the form below: Type the sample (comma or space separated) Percentile (Ex: 0.75, 75%, etc) = Name of the ...

## Effect Size Calculator for the T-Statistic

Instructions: This effect size calculator for the t-statistic allows you to compute the value of \(r^2\) (r-squared) if you know the t-statistic (\(t\)) and the number of degrees of freedom (\(df\)): T-statistic (\(t\)): Degrees of Freedom (df): ...

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