STA

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

ALAT UNTUK STATISTIK DAN TEORI KEBARANGKALIAN.

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Ciri-ciri

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- Alat Pengagihan

- Ujian statistik

- Descriptives

Selain kawasan ini, permohonan itu menyokong penjimatan, memuatkan, dan memotong dataset di mana berkenaan.

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Alat Pengagihan

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Alat pengedaran menawarkan ciri-ciri berikut: plot pdf / PMF, harta (seperti min, varians, dan sokongan), kebarangkalian kumulatif, titik jisim / ketumpatan, quantiles, dan menjana / pensampelan daripada taburan.

Taburan kebarangkalian diskret: Binomial, hipergeometri, Negatif binomial (atau Pascal kerana ia juga dipanggil), Poisson, pakaian seragam, dan Zipf

Taburan kebarangkalian berterusan: Beta, Cauchy, Chi ^ 2 (Chi squarred), eksponen, F (atau Fisher-Snedecor kerana ia juga dipanggil), Gamma, Normal (atau Gaussian kerana ia juga dipanggil), t Pelajar, pakaian seragam, dan Weibull

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Ujian statistik

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- Salah satu cara ANOVA

- Chi ^ 2 ujian: Chi Pearson ^ 2 ujian untuk kebebasan dan diperhatikan vs tuduhan dijangka

- Ujian Korelasi: korelasi Pearson dan korelasi Spearman ini

- Pelajar Ujian-t: Satu sampel dan dua sampel (kedua-dua homoscedastic dan heterosedastik disokong)

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Descriptives

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- Plot histogram

- Ringkasan statistik sebagai: beberapa pemerhatian, min, max, min, sisihan piawai, varians, median, kepencongan, dan kurtosis