Instructor: Dr. Alan T. Arnholt
Office: Walker Hall 237
Office Hours: 1 p.m. - 1:50 p.m. M-R and by appointment

Course Description:

Statistical Concepts and Applications II with Probability Modeling—This course is a continuation of STT 5811. Topics include: an introduction to the design of experiments, exploring and modeling relationships between variables, including chisquare analysis, regression models, ANOVA, and logistic regression. Inferential procedures for each of these models will also be covered. Computationally intensive methods, such as permutation tests, will also be introduced. Statistical concepts will be developed through simulations, and applications will focus on statistical problem-solving and appropriate communication of results of a statistical analysis. Students will use two or more statistical software packages during the course. The goal of the course is to provide sufficient theory and methodology to prepare students to teach the introductory level statistics course. Prerequisite: STT 5811 or permission of instructor.

  1. Please bring a notebook and pencil to every class.
  2. Access the DataCamp assignments via AsULearn

Course Objectives:

  1. Students will use a reproducible research work flow.
  2. Students will improve their technology expertise.
  3. Students will learn to apply and communicate the results of statistical learning techniques.

Course Text:

Probability and Statistics with R, Second Edition by María Ugarte, Ana Militino, and Alan Arnholt

Optional References:

An Introduction to Statistical Learning with Applications in R by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani

Reproducible Research with R and RStudio, Second Edition by Christopher Gandrud

The Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani, and Jerome Friedman

R Graphics Cookbook by Winston Chang - Available via SafariBooksOnline through the Appalachian State University library.

Course Grading:

Course Assignments:

Tentative assignments and due dates for the course may be found at https://stat-ata-asu.github.io/STT5812CourseRepo/Assignments/STT5812AssignmentsSpring2018.html

Piazza:

This term we will be using Piazza for class discussion. The system is highly catered to getting you help fast and efficiently from classmates and myself. Rather than emailing questions to the teaching staff, I encourage you to post your questions on Piazza. If you have any problems or feedback for the developers, email team@piazza.com.

Find our class page at: https://piazza.com/appstate/spring2018/stt5812/home

How To Get Unstuck

If you have a course related question, please ask your question on piazza. Your classmates may have the same question or may answer your question before I can provide an answer. Well constructed questions will elicit answers more rapidly than poorly constructed questions. This video provides some background on asking questions. This stackoverflow thread details how to create a minimal R reproducible example. Please read How To Ask Questions The Smart Way by Eric Raymond and Rick Moen and heed their advice.

University Policies

This course conforms with all Appalachian State University policies with respect to academic integrity, disability services, and class attendance. The details of the policies may be found at https://academicaffairs.appstate.edu/resources/syllabi-policy-and-statement-information.

Computers and Software

This course will use the RStudio server (https://mathr.math.appstate.edu/) that has the programs listed below and more installed.

You must have an active internet connection and be registered in the course to access the server. To access the server, point any web browser to https://mathr.math.appstate.edu/. Use your Appstate Username and Password to access the server. A screen shot of the RStudio server is shown below.

If you have problems with your Appstate Username or Password visit IT Support Services or call 262-6266.

Home Page - Assignments - Piazza