Statistical Methods (90-711)

The course is divided into four distinct components: Descriptive statistics, probability, fundamentals of statistical inference, and regression analysis. The module on descriptive statistics is the calculation and interpretation of summary statistical measures for describing raw data. The module on probability is intended to provide you with an introduction to key concepts of probability. The module on fundamentals of statistical inferences is designed to provide you with the background for executing and interpreting hypothesis tests and confidence intervals. The final module of the course focuses on regression analysis, a widely used statistical methodology. Throughout the course we will regularly use a statistical software package called Minitab. Minitab is very easy to use and no prior experience with computing is required "to get you going." 

Learning Objectives: 

The objectives of the course are to provide students with the ability to: 

  1. Use statistics to summarize patterns in raw data; 
  2. Use data to infer cause and effect relationships; 
  3. Use probability to characterize uncertainty; 
  4. Calculate and interpret confidence intervals and perform and interpret hypothesis tests; 
  5. Perform and interpret regression analyses; 
  6. Use the statistical software package Minitab; 
  7. Prepare you for more advanced statistical courses. 
  • Units