Statistics (STAT) Courses>The Design and Analysis of Experiments

STAT453 - The Design and Analysis of Experiments

Description

An introduction to the principles of experimental design and the techniques of analysis of variance. A discussion of experimental error, randomization, replication, and local control. Analysis of variance is developed for single factor and multifactor experiments. The use of concomitant observations. Multiple comparisons and orthogonal contrasts.

Units

1.5

Hours: lecture-lab-tutorial

3-0-0

Prerequisites

  • Complete all of the following
    • Complete 1 of:
      • STAT251 - Introduction to Statistics: II (1.5)
      • STAT256 - Statistics for Life Sciences II (1.5)
      • STAT261 - Introduction to Probability and Statistics II (1.5)
    • Complete all of:
      • STAT353 - Applied Regression Analysis (1.5)
  • or permission of the department.

Course offered by

Department of Mathematics and Statistics

Course schedules

Summer timetable available: February 15. Fall and Spring timetables available: May 15.

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