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Statistical Sciences
1024A/B -
Introduction to Statistics
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Statistical inference, experimental design, sampling design, confidence intervals and hypothesis tests for means and proportions, regression and correlation.
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Statistical Sciences
2035 -
Statistics for Business and Social Sciences
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Descriptive statistics and graphs, probability and distributions. Sampling, hypothesis testing, and confidence intervals. Experimental design and analysis of variance. Regression and correlation, including multiple regression. Applications emphasized. With the exception of those students registered in the BSc Statistics and Environmental Science, this course cannot be taken for credit in any 3-year BSc program in statistics or honors program or module in Statistics or Actuarial Science.
Prerequisite(s):
One or more of Ontario Secondary School MCV4U, Mathematics 0110A/B, or the
former Ontario Secondary School MCB4U, or equivalent, and one full course or equivalent from:
Applied Mathematics 1413, Statistical Sciences 1024A/B, Calculus 1000A/B or 1100A/B, Calculus 1301A/B or Calculus 1501A/B, Linear Algebra 1600A/B, Mathematics 1225A/B, 1228A/B, 1229A/B, the former Mathematics 030, 031.
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Statistical Sciences
2037A/B -
Statistics for Health
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Descriptive statistics, graphical and verbal fallacies, decision trees, confidence intervals, and multiple regression. Intended primarily for non-science students, and cannot be taken for credit by students in Statistical and Actuarial Sciences or Mathematics programs.
Antirequisite(s):
All other courses or half courses in Introductory Statistics.
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