STAT 310 Predictive Modelling and Analysis of Experimental Data




This course introduces students to models, design and analysis of small to medium-sized experimental data using software. Students will design single-factor and factorial experiments as well as analyze the effect of each factor and the interaction among factors. Statistical methods such as t-tests and ANOVAs will be used to analyze data. Simple and multiple linear regression models will be used to make predictions and analyze relationships between variables. Students will gain hands-on experience applying these techniques to data from disciplines such as social sciences, life sciences, physical sciences, economics, education, and engineering.


45 credits 100-level or higher coursework including one of STAT 101, STAT 205, LBST 201, BADM 210, PSYC 213, TOUR 350 or KINE 302

Course Notes

STAT 310 is an approved Science and Technology course for Cap Core requirements.

STAT 310 is an approved Science course. STAT 310 is an approved Quantitative/Analytical course for baccalaureate degrees.

Course Outlines

Please note: Course outlines of record posted may vary from the section syllabus distributed by each instructor (e.g. textbooks, assignments, timing of midterms).


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