Parametric Tests in R : Guide to Statistical Analysis

Parametric Tests in R : Guide to Statistical Analysis

Hello, I am Zubair Goraya , a Ph.D. scholar, a certified data analyst, and a freelancer with 5 years of experience. I will explain how to perform and report parametric tests with R, using examples of different parametric tests. But before we start, let me ask you a question:  How do you determine if the data you are analyzing, whether parametric or nonparametric, is reliable and valid?  How do you conduct hypothesis testing and conclude the statistical data analysis?  How do you communicate your analysis findings-- derived from comparing two data sets using parametric or nonparametric tests—and make recommendations to your audience Data analysts confront these questions daily and must use appropriate statistical tools and techniques to answer them. One of data analysts' most common and powerful tools is parametric tests.  Table of Contents Key Points Parametric tests, such as t-tests and ANOVA  heavily based on assumptions, including normality, homogeneity of variance, two independent var…