Statistical Testing Software - Free Statistics and Forecasting Software (Calculators) v.1.2.1

All rights reserved. The non-commercial (academic) use of this software is free of charge. The only thing that is asked in return is to cite this software when results are used in publications.

Free Software for Statistical Hypothesis Tests (Calculators):

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Univariate Statistical Hypothesis Testing - Ungrouped Data

Skewness/Kurtosis Test	D'Agostino skewness test, Anscombe-Glynn kurtosis test, Jarque-Bera Normality Test (against normality).
Skewness-Kurtosis Plot	Skewness-Kurtosis plot as proposed by Cullen and Frey (1999).

Testing Mean (unknown Variance) - p-value	computes the 2-sided p-value for the statistical hypothesis test about the mean when the population variance is unknown. This test can be applied to any univariate dataset.
Testing Mean (known Variance) - Critical Value	computes the critical value for one- and two-sided hypothesis tests about the mean. In this test it is assumed that the population variance is known.

Testing Mean (known Variance) - p-value	computes the p-value for one- and two-sided hypothesis tests about the mean. In this test it is assumed that the population variance is known.

Testing Mean (known Variance) - Type II Error	computes the Type II Error for the one-sided hypothesis test about the mean. In this test it is assumed that the population variance is known.

Testing Mean (known Variance) - sample size	computes the sample size for the one-sided hypothesis test about the mean, given a user-defined type I and II error. In this test it is assumed that the population variance is known.

Testing Population Mean with known Variance - Confidence Interval	computes the confidence intervals for the one-sided and two-sided hypothesis test about the population mean

Testing Sample Mean with known Variance - Confidence Interval	computes the confidence intervals for the one-sided and two-sided hypothesis test about the sample mean

Testing Variance - Critical Value (Region)	computes the critical value (region) for the hypothesis test about the variance

Testing Variance - p-value (probability)	computes the p-value (probability) for the hypothesis test about the variance

Testing Variance - Confidence Intervals for Sample Variance	computes the confidence intervals for the one-sided and two-sided hypothesis test about the sample variance

Testing Variance - Confidence Intervals for Population Variance	computes the confidence intervals for the one-sided and two-sided hypothesis test about the population variance

Testing Mean with unknown Variance - Critical Value	computes the 2-sided and 1-sided confidence intervals for the statistical hypothesis test about the mean when the population variance is unknown. This test can be applied to any univariate dataset.

Testing Population Proportion - Critical Value	computes the critical values for one- and two-sided hypothesis tests about the population proportion.

Testing Population Proportion - P-Value	computes the p-value of the population proportion test.


Bivariate and Multivariate Statistical Hypothesis Testing - Ungrouped Data

Two Sample Tests about the Mean	Paired and Unpaired Two Sample Tests about the Mean (paired t-test, unpaired t-test, Welch t-test, and Wilcoxon rank sum test with continuity correction).
Kendall tau Correlation Matrix	Multivariate correlation plot based on Kendall tau rank correlations and their respective p-values.
Notched Boxplots	Notched Boxplots for a multivariate dataset.
1-way ANOVA	Single Factor Analysis of Variance.
2-way ANOVA	Two Factor Analysis of Variance.
Chi-Squared Tests	This module computes the Pearson Chi-Squared test, Exact Pearson Chi-Squared by Simulation test, McNemar test, and the Association Plot.
Compare Correlations	This module tests the difference between two Pearson Correlations.

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