rohitsanj/doex

Python library for Design and Analysis of Experiments

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berkerdemirel/Statistics-Toolbox

A toolbox for ANOVA and Linear Regression

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Emeraldugbeyide93/Sentiment-Analysis-of-Mobile-Banking-Applications

A sentiment Analysis Project of mobile banking applications with focus on 10 UK Retail focused Banks using customer reviews on Google Play Store and Apple Store.

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stephenombuya/StatisticsPractice

This guide explains how to perform a Two-Way ANOVA in R. Two-Way ANOVA is used to evaluate the influence of two different categorical independent variables on one continuous dependent variable. Additionally, it helps in understanding if there is an interaction between the two factors affecting the dependent variable.

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malcolmreis02/experimento_limoes

Analisamos a influência da temperatura e do rolamento prévio na quantidade de suco extraído de limões, utilizando um experimento fatorial e análise de variância (ANOVA) para validar os resultados.

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S-CHAN11/Salary-Variance-Analysis

In this project I analyze if the salary of employees is dependent on their education or occupation using Advanced Statistical concepts like Hypothesis Testing and Anova

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Krutik4421/One-Way-Two-Way-Anova Fork of aniketroy997/One-Way-Two-Way-Anova

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kaushikmanikonda/Design-and-Analysis-of-Industrial-Experiments_ISEN_616

Designing Industrial Experiments, one-way, and two-way ANOVA analysis, Experimental design principles (Replication, Randomization, and Blocking), Parameter Estimation, Sample Variance

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Kalit31/ANOVA-and-variants

MATH F432 Applied Statistical Methods: Assignment-1

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alifradi/ANOVA-Shiny-application

It is a method that allows analyzing the differences among group means in a given sample. ANOVA is a collection of statistical models and their associated estimation procedures like variation within and between groups. It is used to study the modification of mþ as the average of the studied phenomenon Y (quantitative/continuous/dependent variable) according to the influence of one or more (qualitative/discrete/independent variable) factors.

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