Python library for Design and Analysis of Experiments
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Updated
Dec 8, 2020 - Python
Python library for Design and Analysis of Experiments
A toolbox for ANOVA and Linear Regression
Hypothesis testing on datasets
MLB Team Runs Scored Prediction Project (Linear Regression)
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 variabl…
E-commerce site data preparation and sales analysis to answer customer profile and sales questions
Script to perform three different likelihood-ratio tests in Julia, and call an R script to perform the one-way ANOVA test, Welch's ANOVA test and analysis of deviance on a gamma generalized linear model.
Designing Industrial Experiments, one-way, and two-way ANOVA analysis, Experimental design principles (Replication, Randomization, and Blocking), Parameter Estimation, Sample Variance
Checking if there is any significant effect of different treatments on child's growth using One Way ANOVA test
Shinyapp para efectuar one-way ANOVA y gráficos box-plot derivados de datos proporconados por el usuario.
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
Hypothesis testing by ANOVA techniques and Dimensionality reduction by Principal Component Analysis
The question-answer paper discusses Data Science Statistical data modeling methods such as Logistic Regression, One-Way and Two-Way ANOVA
People Analytics Project on Factors affecting Employees Performance during Covid-19
This project explores the data of medical insurance claims. Descriptive Analysis, Exploratory data analysis, Univariate, Bivariate and multivariate analysis is performed to explore the data and how different features are correlated to each other. Finally, hypothesis testing is performed by employing t-test, Chi-squared test and One-way ANOVA.
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