Statistics
See also "Mathematics".
Students should note that in the Science Faculty the minimum acceptable grade in a course which is required by a particular program or is used to meet a prerequisite, is a "C". Any student who fails to attain a "C" or better in such a course must repeat the course (at the next regular session) until a grade of "C" or better is attained. Students will not be eligible for graduation until such deficiencies are removed. The only exception will be granted for a single course with a "D" grade that is a normal part of the final year of that program, and is being taken for the first time in the final year.
STAT 2*** courses may not be taken by students who have passed a higher level STAT course.
NOTE: See the beginning of Section H for abbreviations, course numbers and coding.
| STAT3093 | Probability and Mathematical Statistics II | 3 ch (3C) |
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| The second half of a two-part sequence covering various topics in probability and statistics. This course provides an introduction to essential techniques of statistical inference. Samples and statistics versus populations and parameters. Brief introduction to method of moments and maximum likelihood. Tests and intervals for means, variances and proportions (one and two-sample). Multiple regression, residual plots. Analysis of variance, brief introduction to experimental design. Chi-squared tests. Examples drawn from engineering, science, computing science and business. Use of a statistical computer package. Prerequisite: STAT 3083. Students with exceptional standings in STAT 2593 may seek permission from the instructor. |
| STAT4293 | Applied Statistics Methods with R | 3 ch (3C) |
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| Data input and manipulation in R. Basic R programming. Visualization. Simulation of random variables. Simulation experiments to evaluate estimators and tests. Using optimization to fit models. Data smoothing with splines and kernel density estimation. Bootstrapping and other resampling methods. Data analysis will be undertaken by means of R packages and R programming.
Prerequisite: STAT 2593 (at least B) or STAT 3093.
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| STAT4303 | Mathmatical Statistics | 3 ch (3C) |
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Common families of distributions, convergence concepts, sufficiency, completeness, detailed discussion on methods of finding and evaluating point estimators, interval estimators and hypothesis tests.
Prerequisites: STAT 3083 or permission of the instructor. |
| STAT4333 | Applied Longitudial Data Analysis | 3 ch (3C) |
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| Graphical and tabular displays of longitudinal data, analyses of various types of longitudinal data including normal and non-normal continuous, semi continuous, count, nominal, and ordinal responses, marginal and conditional inferences, random effects models, extensive use of statistical software, emphasis on applications.
Prerequisite: STAT 4053 or permission of the instructor.
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