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EvolveDK

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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


STA: Statistical Toolbox

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