## Transition to Online Instruction

We will be transitioning to online instruction starting March 23rd. There will be several new online resources we will use for the remainder of the semester:

• Classes will meet via the video conferencing platform Zoom.
• Students now have free access to WileyPlus for additional practice and feedback. See posted instructions in D2L to access WileyPlus.
• In-class explorations will be now turned in via Gradescope.

See the full description of changes to Stat 216 posted in Content > Online Resources for information on course delivery, turning in explorations, weekly homework, course project, final exam, and new grade percentage breakdowns.

Though we will only see you virtually, know that your instructors and TAs are committed to your success in this course. Check D2L announcements and your email often for important information. Please reach out to us if you have any concerns!

## Contact Information

### Course Student Success Coordinator

Office:  Wilson 2-263
Phone:  994-6557
email

### Course Supervisor

Dr. Stacey Hancock
Office:  Wilson 2-195
Phone:  994-5350

e-mail

## 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.