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

工具统计和概率论。

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产品特点

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- 分配工具

- 统计检验

- 描述性

除了这些领域，应用程序支持保存，加载和删除数据集（如适用）。

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分发工具

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分配工具提供以下功能：剧情PDF / PMF，属性（如均值，方差和支持），累计概率，点质量/密度，分位数，并生成/从抽样分布。

离散概率分布：二项分布，超几何，负二项（或Pascal，因为它也被称为），泊松，均匀，齐夫

连续概率分布：测试版，柯西，驰^ 2（中squarred），指数，F（或Fisher-斯内德克，因为它也被称为），伽玛，普通（或高斯，因为它也被称为），学生t，均匀，威布尔

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统计检验

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- 单因素方差分析

- 驰^ 2检验：Pearson卡^ 2独立性检验和观察与预期数

- 相关性检验：Pearson相关和Spearman相关

- 学生的t-检验：一个样品和两个样品（包括同方差和异方差都支持）

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描述性

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- 绘制直方图

- 汇总统计数据为：观测数，最小值，最大值，平均值，标准差，方差，中位数，偏度和峰度