Design and Analysis of Experiments

4.0 credits

Pre-requisites: STAT 212 or Equivalent Co-Located: STAT 415 This course will start with an introduction to the scientific method and good practices in experimental design. It will cover a review of point estimation, confidence intervals and hypothesis testing material covered in an introductory statistics course. It will proceed to cover the different experimental designs (Completely Randomized Design, Full Factorial, Central Composite Design, 2k, Fractional Factorial, Screening Designs). The analysis of the data from each design will also be covered using computer software packages.