Topics include: descriptive statistics; probability; random variables and probability distributions; expectation; binomial, Poisson, and normal distributions; random sampling and sampling distributions; point and interval estimation; classical hypothesis testing and significance testing. Statistical examples and applications from life sciences will be emphasized. (Not for mathematics majors).
Prerequisites:
Grade 11 U or M mathematics or permission of the instructor
Antirequisites:
Research Methods: Statistics (APS‑201);
Statistics (MAT‑215);
Research Methods: Statistics (PSY‑201 (APS‑201));
APS/PSY-201
Research Methods: Statistics
APS‑201
An introduction to descriptive statistics and the logic of statistical inference. Statistical
techniques common to behavioural sciences are covered. Includes a weekly one-hour lab.
Statistics
MAT‑215
A study of the collection, analysis and interpretation of numerical data. Topics covered are probability spaces, conditional probability, random variables both continuous and discrete, Binomial, Normal, Poisson, Student’s t and Chi-square distributions, expectations, sampling distributions, estimation, tests of significance, regression analysis, and design of experiments. Includes lab time to emphasize the use of computer software for statistics. This course meets 4 hours a week.
Research Methods: Statistics
PSY‑201 (APS‑201)
An introduction to descriptive statistics and the logic of statistical inference. Statistical techniques common to behavioural sciences are covered. Includes a weekly one-hour lab.