Reminder: Please complete the O’Reilly login steps (See the Accessing O’Reilly link in the Week 1 Resources area) where you get an email that will allow your browser to keep your password, solving future access limitations.
365 Careers. (2018). R Programming for statistics and data science. Packt Publishing.
Watch Chapter 10: Hypothesis Testing.
The Chapter 10 video discusses distributions, standard error and confidence intervals, Type I and II errors, tests for the mean, and comparing two means.
Wiley, M., & Wiley, J. F. (2020). Beginning R 4: From beginner to pro, Apress.
Read Chapter 10: Hypothesis Testing.
Chapter 10 discusses how to create a null and alternate hypothesis, the difference between Type I and II errors, how to apply the steps used for hypothesis testing in R, and evaluate and explain the results using simple language.
Read Chapter 13: Analysis of Variance.
Chapter 13 discusses how to evaluate appropriate research questions and perform an ANOVA in R. The difference between a one-way and factorial ANOVA is explained and also, how to create visualizations to communicate results.
