Instructor: Dr. Alan T. Arnholt
Office: Walker Hall 340
Office Hours: 10-11:30 M, W, and F

Make an appointment to see me by clicking https://arnholtat.youcanbook.me/.

Course related questions should be addressed with the piazza account for STT 5811.

Course Description:

This course introduces students at the post-calculus level to statistical concepts, applications, and theory. Topics include: comparisons with categorical and numerical data, statistical significance, sampling and sampling distributions, and randomized experiments. Statistical concepts will be developed through simulations, and applications will focus on statistical problem-solving. Students will complete three research projects using principles of reproducible research.

Course Objectives:

  1. Students will learn how to use a reproducible research work flow.
  2. Students will improve their technology expertise.
  3. Students will learn to work with large data sets.
  4. Students will learn to create and present graphs for both univariate and multivariate data.
  5. Students will learn how to construct and test hypotheses using both classical and randomization approaches.
  6. Students will learn how to construct confidence intervals using both classical and bootstrap approaches.
  7. Students will learn how to generate random and simple random samples and their relationships to permutation and bootstrap distributions.
  8. Students will learn how to work with named sampling distributions (t, F, binomial, chi-square, hypergeometric, and normal).
  9. Students will learn the scope of inferential conclusions for numerous scenarios (experiments, observational studies, etc.).

Course Texts:

OpenIntro Statistics, 3rd Edition

Passion Driven Statistics also available on Rpubs.

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

Course Grading:

If you know you will be absent at any point in the semester for any reason, please let me know beforehand; and make sure to submit your work via CrowdGrader before the due date.

How To Get Unstuck

Please ask questions on the STT 5811 piazza account. 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 http://academicaffairs.appstate.edu/resources/syllabi.

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/. You will need to acknowledge the connection is unsecure and possibly add a security exception to your web browser. 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.