STAT 216 - Introduction to Statistics
Course Student Success Coordinator
Office: Wilson 2-263
Course Description and Learning Outcomes
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?
Introduction to Statistical Investigations (ISI) by Tintle, Chance, Cobb, Rossman, Roy, Swanson, and VanderStoep (Wiley, 2016). MSU negotiated a reduced price for the textbook and custom e-textbook package available only from the MSU Bookstore (ISBN -9781119385943). The custom e-textbook is required to access videos that will be assigned as part of the reading prior to each class. The print textbook is optional, but you should have access to the textbook (print or e-book) during each class period.
If you prefer to purchase the custom e-textbook alone, you may purchase itfrom the MSU Bookstore or here.
- How to succeed in an active learning course
- Fall 2017 Syllabus
- Fall 2017 Course Calendar and Due Dates
- Stat 216 YouTube Channel
- ISI Resources:
- Tableau Resources:
- Math Learning Center (MLC) is open 9 am to 8 pm Monday - Thursday and 9am to 3pm Friday. Do use it as a resource!
- We use Brightspace (D2L) to organize the course, so log in and find your section.
- If you have any problems logging in, read their password help page.
Data sets for course explorations, investigations and assignments will be available here.