::Free Statistics and Forecasting Software::

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):

Main Menu	return to Main Menu
Univariate Statistical Hypothesis Testing - Ungrouped Data
Skewness/Kurtosis	Normality tests for small and large samples.
Quasi Random-Walk Identification	Computes the logistic regression probability of a Quasi Random-Walk based on the small-sample Kurtosis p-value. If the probability is close to 1 then the (financial) time series under investigation is not consistent with the Efficient Market Hypothesis (c.q. Random-Walk).
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 Statistical Hypothesis Testing - Ungrouped Data
Trivariate Statistical Hypothesis Testing - Ungrouped Data
Multivariate Statistical Hypothesis Testing - Ungrouped Data

To cite Wessa.net in publications use:
Wessa, P. (2008), Free Statistics Software, Office for Research Development and Education,
version 1.1.23-r2, URL http://www.wessa.net/

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Software Version : 1.1.23-r2
Algorithms & Software : Prof. dr. P. Wessa
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