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This course covers all basic statistical concepts, and includes relevant examples for life and health science students. The course introduces descriptive and inferential statistics; basic probability theory; discrete and continuous random variables with focus on binomial and normal random variables; statistical inference for population means and population proportions, both for one and two populations, with focus on confidence intervals and tests of hypotheses. Furthermore, simple and multiple linear regression methods are covered as well as one-way and two-way ANOVA. Problems are analyzed with the aid of appropriate software.
One of MA101, MA103, MA110*.
EC205, EC255, EC285, MA141, MA240, MA241, PS296, ST230, ST260.
Robert Rundle (PhD)
Office Hours: See ST231 MyLearningSpace website for hours and update
E: rrundle@wlu.ca
The lectures will be recorded and posted in MyLS. You should watch them according to the schedule posted on the course webpage to make sure that you are well prepared for labs, homework assignments and assessment tasks.
Erica Marshall
E: emarshall@wlu.ca
Baldi, B. and Moore, D.S. The Practice of Statistics in the Life Sciences. 4th Edition, WH Freeman and Company.
Students may use a non-programmable, non-graphing calculator.
Materials related to this course and the full course outline will be posted on the ST231 MyLearningSpace website. You are responsible for checking here on a regular basis for important announcements.
A final mark out of 100 will be calculated as follows:
The final mark will be reported as a letter grade in accordance with the conversion table of the current undergraduate calendar.
This document is a summary of the course outline for ST231 and is provided for the convenience of students.
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