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A toolbox for ANOVA and Linear Regression
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.
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.
Two-way ANOVA with Interaction consulting analysis in R
MATH F432 Applied Statistical Methods: Assignment-1
Designing Industrial Experiments, one-way, and two-way ANOVA analysis, Experimental design principles (Replication, Randomization, and Blocking), Parameter Estimation, Sample Variance
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
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
An R project that investigates and visualizes the effect of sex and education on an individual's income level through the use of a full-factorial two-way ANOVA test and relevant post hoc significance tests conducted over a 2014 Pew Research Center dataset consisting of higher education attainment, gender, and income data.
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.