Problems 2, 9, 10 and 12 from the exercises in chapter 3 of ISLR2

Libraries Orientatiion

This tutorial provides a comprehensive guide to R hypothesis testing, covering key concepts such as null and alternative hypotheses, p-values, and significance levels. You will learn to perform common statistical tests, including one-sample t-tests, two-sample t-tests, paired t-tests, chi-square tests, and ANOVA, as well as post-hoc analyses like Tukey's HSD.

here we have 3 replicates for each accession and condition.

An overview of the guided field activities on 01/04/25