## Statistical Methods I

Richard Single
306 Mansfield House
656-8631
Richard.Single(at)uvm(dot)edu

Prerequisites: Minimum Junior standing or (STAT 141/143 AND instructor permission)

Text: "OpenIntro Statistics" (3rd Edition) by Diez, Barr, and Cetinkaya-Rundel

• The textbook is available for free as a PDF, or a paper copy can be purchased for under \$25 at Amazon.

Errata: Most of the corrections involve the following change from "Standard Error" to "Standard Deviation of the Mean" in sections 4.1.3 - 4.4.
Using SD(Xbar) instead of SE(Xbar) allows us to use the Normal Distribution in Chapter 4. Chapter 5 will use the Standard Error.

Software:  R Statistical Software

• R is a language and provides a flexible and extendable environment for statistical computing and graphics. It is available as Free Software under the terms of the Free Software Foundation's GNU General Public License (GPL). It is similar in many ways to the S language which was developed at Bell Laboratories. There is a commercial version based on the S language known as S-PLUS.

Getting Started with R

R Studio

• R Studio download page. You will probably want to select the "Windows 7/8/10" or "Mac OS X 10.6+" platform.
• a short video to convince you that R Studio is a useful tool.
• R Studio overview.

Assignments / R Labs

• Due 1/19: Lab 0 Introduction to R (You can use R-studio or R for the lab)
Turn in at most one page (you can use both sides if needed) with your answers to the "On Your Own" section. For the plot, you can right-click & copy and then paste into Word.
• Due 1/26: 1.23, 1.36, 1.46c (compute Median & IQR for both), 1.48 (*compute mean & SD and make a stem&leaf plot), 1.50, 1.66
*feel free to check your work in R, but be sure that you can compute these by hand [ stem(data) will give you a stem&leaf plot in R ]

Notes