ztest

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.

Zephyr v3.7 LTS app: reusable filter library with Ztest unit tests and Twister CI (native_sim + nucleo_f411re)

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

A/B test analysis for ecommerce landing page · Python · Pandas · SciPy · Statsmodels

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

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

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

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.

learning statistics using python

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

Basic Zephyr RTOS CAN driver example, using Kconfig, Ztest, Device Tree (dts), Threads and Message Queues. Transmit CAN frames periodically, and ensure frame reception with actions to do based on the frame ID. Tested with the NXP FRDM MCXN947 board.

📊 explores statistical concepts including Hypothesis Testing, Confidence Intervals, Critical Values, p-values, Independent Sample t-Test, Chi-Square Test, ANOVA, Correlation Analysis, and Covariance Analysis to derive meaningful insights from healthcare data. The entire analysis is implemented using Python (Jupyter Notebook) and supported wi

Analysing the results of an A/B test run for an e-commerce website. The company has developed a new web page in order to try and increase the number of users who "convert," meaning the number of users who decide to pay for the company's product.

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

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.

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