Required Textbook

Two "textbooks" are required for this course:

  1. Montana State Introductory Statistics with R - free online textbook 
  2. STAT 216 Coursepack - workbook with reading guides and in-class activities, purchase through Xanedu

CoursePack Title: Stat_216_Coursepack

We're thrilled to assist you in accessing your XanEdu CoursePack. Let's walk you through the process step by step:

  1. First things first, let's head over to the XanEdu "Login/Register" page. To get there, simply click on this link:
  2. If you've already registered for another CoursePack in the past, fantastic! Just log in using your existing account details. However, if this is your first time using XanEdu, no worries at all! Just click on the "Need an Account? Register Now" link. You'll be taken to a registration page where you can fill in your details. Once you're done, hit the Submit button to complete the registration process.
  3. Sit tight for a moment after you've submitted your registration. Keep an eye on your email inbox. You should receive an email from "Your Friends at XanEdu". Go ahead and open it up, then click the link inside. This step is important as it verifies your account and allows you to set a password for added security.
  4. You're almost there! Now that your account is all setup, it's time to access your desired CoursePack. Since you're logged in, navigate to the "Store" tab. There, you'll find a list of available CoursePacks. Click on the title of the specific pack you wish to purchase.
  5. Great job! You've found your CoursePack. Now, simply click on the "Add to Cart" button. When you're ready to complete your purchase, click on the Cart icon. It's located in the top right corner of the page. Follow the prompts to finalize your purchase.
  6. Congratulations on your successful purchase! Now, let's go back to your shelf. You'll notice that your newly acquired CoursePack is waiting for you there. Simply click on the pack's title, and voila! You'll gain access to all the incredible materials it contains.

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Please read through the syllabus linked below for more details about the course.

Quick Links

Classroom Format and Organization

Stat 216 will meet 3 times per week. Each week, students will:

  • read assigned sections of the online textbook and watch videos on that week’s content prior to attending your assigned in-person class day, including concept check video quizzes embedded in the videos,
  • meet with your fellow students in your assigned classroom three class periods per week for in-class group activities and discussion (Mondays and Wednesdays) and in-class Rstudio labs (Friday),
  • complete one assignment in Gradescope.

Contact Information

Your Instructor

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

Course Student Success Coordinator

Melinda Yager
Office:  Wilson 2-260
email Melinda

Course Supervisor

Dr. Mark Greenwood
Office:  Wilson 2-228
email Mark

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 using statistical software;
  • 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.

Data Sets

Data sets for course activities and assignments are available below.

Data Sets for Course Activities and Labs