TOOL FOR STATISTICS AND PROBABILITY THEORY.
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Features
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- Distribution tool
- Statistical tests
- Descriptives
Besides these areas the application supports saving loading and deleting datasets where applicable.
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Distribution tool
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The distribution tool offers the following features: plot the pdf/pmf properties (like mean value variance and support) cumulative probability point mass/density quantiles and generating/sampling from the distribution.
Discrete probability distributions: Binomial Hypergeometric Negative binomial (or Pascal as it is also called) Poisson uniform and Zipf
Continuous probability distributions: Beta Cauchy Chi^2 (Chi squarred) Exponential F (or Fisher-Snedecor as it is also called) Gamma Normal (or Gaussian as it is also called) Student's t uniform and Weibull
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Statistical tests
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- One way ANOVA
- Chi^2 tests: Pearson's Chi^2 test for independence and observed vs expected counts
- Correlation tests: Pearson's correlation and Spearman's correlation
- Student's t-tests: One sample and two sample (both homoscedastic and heteroscedastic are supported)
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Descriptives
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- Plot a histogram
- Summary statistics as: number of observations min max mean standard deviation variance median skewness and kurtosis
---------------------------
Features
---------------------------
- Distribution tool
- Statistical tests
- Descriptives
Besides these areas the application supports saving loading and deleting datasets where applicable.
---------------------------
Distribution tool
---------------------------
The distribution tool offers the following features: plot the pdf/pmf properties (like mean value variance and support) cumulative probability point mass/density quantiles and generating/sampling from the distribution.
Discrete probability distributions: Binomial Hypergeometric Negative binomial (or Pascal as it is also called) Poisson uniform and Zipf
Continuous probability distributions: Beta Cauchy Chi^2 (Chi squarred) Exponential F (or Fisher-Snedecor as it is also called) Gamma Normal (or Gaussian as it is also called) Student's t uniform and Weibull
---------------------------
Statistical tests
---------------------------
- One way ANOVA
- Chi^2 tests: Pearson's Chi^2 test for independence and observed vs expected counts
- Correlation tests: Pearson's correlation and Spearman's correlation
- Student's t-tests: One sample and two sample (both homoscedastic and heteroscedastic are supported)
---------------------------
Descriptives
---------------------------
- Plot a histogram
- Summary statistics as: number of observations min max mean standard deviation variance median skewness and kurtosis
Show More >
STA: Statistical Toolbox
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