This repository is a resource for learning and applying statistics in data science. It contains code examples and explanations for many common statistical concepts, from descriptive statistics through regression and time series analysis.

Python Statistical HealthCare Data Analysis

Este projeto utilizou testes de hipóteses, que incluem o teste Z de proporção e o teste qui-quadrado de independência.

Project with AB test analysis to identify better mobile game experience.

Compute a two-sample Z-test for two one-dimensional ndarrays.

Compute a two-sample Z-test for two one-dimensional double-precision floating-point ndarrays.

Compute a two-sample Z-test for two double-precision floating-point strided arrays.

Study of the periodicity of the pulsar Geminga through the analysis of gamma-rays Fermi-LAT data

Return a constructor for creating a one-sample Z-test results object.

Compute a one-sample Z-test for a one-dimensional ndarray.

Create a one-sample Z-test double-precision floating-point results object.

Serialize a two-sample Z-test results object as a formatted string.

Compute a two-sample Z-test.

Create a one-sample Z-test single-precision floating-point results object.

Compute a two-sample Z-test for two single-precision floating-point strided arrays.

Return the alternative hypothesis string associated with a supported Z-test alternative hypothesis value.

Compute a one-sample Z-test for a one-dimensional double-precision floating-point ndarray.

Compute a one-sample Z-test for a one-dimensional single-precision floating-point ndarray.

Create a two-sample Z-test single-precision floating-point results object.

The project finds the Z-score number used in deep calculus to receive effective probability results. Apart from other libraries, this project is user-friendly, requires only 383 KB and if there is missing data the Statistical Test calculates for you.