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.

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Python Statistical HealthCare Data Analysis

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

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

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

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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.

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• Python

learning statistics using python

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

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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.

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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.

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• C

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

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

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

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

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This repository contains a A/B testing for a fictional company Globox where I analyzed the results and provided recommendations to the stakeholders about whether Globox should launch a new experience to all their users.

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Statistics for machine learning.

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

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

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

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

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