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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
ALAT UNTUK STATISTIK DAN PROBABILITAS TEORI.

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Fitur
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- Alat Distribusi
- Uji statistik
- Descriptives

Selain daerah-daerah tersebut, aplikasi ini mendukung penghematan, pemuatan, dan menghapus dataset mana yang berlaku.

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Alat Distribusi
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Alat distribusi menawarkan fitur berikut: plot pdf / PMF, sifat (seperti nilai rata-rata, varians, dan dukungan), probabilitas kumulatif, titik massa / densitas, kuantil, dan menghasilkan / sampel dari distribusi.

Distribusi probabilitas diskrit: Binomial, Hipergeometris, Negatif binomial (atau Pascal seperti yang juga disebut), Poisson, seragam, dan Zipf

Distribusi probabilitas kontinu: Beta, Cauchy, Chi ^ 2 (Chi squarred), Exponential, F (atau Fisher-Snedecor seperti yang juga disebut), Gamma, Normal (atau Gaussian seperti yang juga disebut), Student t, seragam, dan Weibull

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Uji statistik
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- Salah satu cara ANOVA
- Chi ^ 2 tes: Pearson Chi ^ 2 tes untuk kemerdekaan dan diamati jumlah yang diharapkan vs
- Tes Korelasi: korelasi Pearson dan korelasi Spearman
- Student t-test: Satu sampel dan dua sampel (baik homoskedastis dan heteroscedastic yang didukung)

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Descriptives
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- Plot histogram
- Ringkasan statistik sebagai: jumlah pengamatan, min, max, mean, standar deviasi, varians, median, kemiringan, dan kurtosis


STA: Statistical Toolbox

Versi Terakhir dari STA: Statistical Toolbox

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