Statistical Inference

This graduate level course provides an introduction to the basic concepts of probability, common distributions, statistical methods, and data analysis. It is intended for graduate students who have one undergraduate statistics course and who wish to review the fundamentals before taking additional 500 level statistics courses. This course is cohort-based, which means that there is an established start and end date, and that you will interact with other students throughout the course.

Upon completion of this course students will:

  • Appreciate and understand the role of statistics in your own field of study.
  • Develop an ability to apply appropriate statistical methods to summarize and analyze data for some of the more routine experimental settings.
  • Make sense of data and be able to report the results in appropriate table or statistical terms for inclusion in your thesis or paper.
  • Perform appropriate statistical techniques using Minitab and interpret the results/outputs.

Users of statistics -- researchers, government agencies like the Census Bureau and the Bureau of Labor Statistics, companies like the automakers and drug industry, etc. -- make extensive use of the computer in applying statistical methods to their problems. So will you! You will have plenty of practice in analyzing data from a variety of areas and should be well prepared for problem-solving involving statistics in the rest of your college courses, as well as gaining an understanding of the role of statistics in your daily life.