Learn how to compute the Pearson, Spearman and Kendall correlation coefficients by hand to evaluate the relationship between two variables| Stats and R
Learn how to perform a one-way Analysis Of VAriance (ANOVA) by hand to compare a quantitative measure between three groups or more| Stats and R
Learn how to perform the one-sample t-test by hand and in R in order to compare a sample to a hypothesized value, with known or unknown population variance| Stats and R
Learn how to apply the Student's t-test by hand and in R in order to compare two independent or paired samples with known or unknown variances| Stats and R
Learn how to perform a descriptive analysis of your data in R, from simple descriptive statistics to more advanced graphics used to describe your data at hand| Stats and R
This article explains how to distinguish a population from a sample, an important difference in statistics, namely for descriptive and inferential statistics| Stats and R
This article presents how to perform inferential statistics by hand, namely, confidence intervals and hypothesis tests for means, proportions and variances| Stats and R
Hello readers! This is the first article of a blog aimed at making statistics easy to understand by illustrating with concrete examples and using plain English| Stats and R