Contact Information

See your D2L Announcements page for your instructor's contact information.

Course Supervisor

Dr. Nicole Carnegie
Office: Wilson 2-197

Interim Course Student Success Coordinator

Melinda Yager
Office:  Wilson 1-145
Phone:  994-6876


Course Student Success Coordinator

Jade Schmidt
Office:  Wilson 2-263
Phone:  994-6557

Course Description

Stat 216 is designed to engage you in the statistical investigation process from developing a research question and data collection methods to analyzing and communicating results. This course introduces basic descriptive and inferential statistics using both traditional (normal and t-distribution) and simulation approaches including confidence intervals and hypothesis testing on means (one-sample, two-sample, paired), proportions (one-sample, two-sample), regression and correlation. You will be exposed to numerous examples of real-world applications of statistics that are designed to help you develop a conceptual understanding of statistics. After taking this course, you should be able to:

  • Understand and appreciate how statistics affects your daily life and the fundamental role of statistics in all disciplines;
  • Evaluate statistics and statistical studies you encounter in your other courses;
  • Critically read news stories based on statistical studies as an informed consumer of data;
  • Assess the role of randomness and variability in different contexts;
  • Use basic methods to conduct and analyze statistical studies;
  • Evaluate and communicate answers to the four pillars of statistical inference: How strong is the evidence of an effect? What is the size of the effect? How broadly do the conclusions apply? Can we say what caused the observed difference?

MUS Stat 216 Learning Outcomes

  1. Understand how to describe the characteristics of a distribution.
  2. Understand how data can be collected, and how data collection dictates the choice of statistical method and appropriate statistical inference.
  3. Interpret and communicate the outcomes of estimation and hypothesis tests in the context of a problem.
  4. To understand the scope of inference for a given dataset.

Required Textbook

Introduction to Statistical Investigations (ISI) by Tintle, Chance, Cobb, Rossman, Roy, Swanson, and VanderStoep (Wiley, 2016). MSU negotiated a reduced price for the textbook available only through the MSU Bookstore (ISBN -9781119385943), and offers a custom e-textbook that includes videos for each section (videos are not required for the course). If you prefer to purchase the custom e-textbook alone, you may purchase it from the MSU Bookstore or purchase it from VitalSource.

You may purchase either the print textbook (used or new) or an e-textbook, but you must have access to the textbook during each class period. Other materials, such as readings and assignments, will be downloaded from D2L.

Supplemental Readings

Course Information

Course Resources

Data Sets

Link to ISI datasets. Data sets for course explorations, investigations and assignments are available below.

Various Apps for Project Data Collection