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.

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Odds Ratio Calculator

Odds Ratio Calculator

Instructions: This calculator computes the Odds Ratio (OR) for a 2×2 crosstabulation, which measures the ratio of the odds of exhibiting a condition (or disease) for those in an exposed group, versus the the odds of exhibiting the condition (or ...
Correlation Coefficient Significance

Correlation Coefficient Significance

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 is significantly different from zero using the critical correlation ...
Uniform Probability Calculator

Uniform Probability Calculator

Instructions: Compute uniform distribution probabilities using the solver below. Please type the lower limit \(a\), the upper limit \(b\), and define the event for which you want to compute the probability for: Lower (a) Upper (b) Two-Tailed: ≤ X ...
Normal Probability Calculator

Normal Probability Calculator

Instructions: This Normal Probability Calculator will compute normal distribution probabilities using the form below, and it also can be used as a normal distribution graph generator. Please type the population mean and population standard ...
Correlation Coefficient Calculator

Correlation Coefficient Calculator

Instructions: You can use this tool to compute Pearson’s correlation coefficient for two variables X and Y. All you have to do is type your X and Y data, either in comma or space separated format (For example: “2, 3, 4, 5”, or ...
T-test for two Means – Unknown Population Standard Deviations

T-test for two Means – Unknown Population Standard Deviations

Instructions: This calculator conducts a t-test for two population means (\(\mu_1\) and \(\mu_2\)), with unknown population standard deviations. This test apply when you have two-independent samples, and the population standard deviations ...



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