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Statistics


On this page: Introduction | Programs |
See also: Faculty Members | Course Descriptions | Course Winter Timetable | More on Department

Introduction

Statistical methods have applications in almost all areas of science, engineering, business, government, and industry. The practising statistician is involved in such diverse projects as designing clinical trials to test a new drug, economic model-building to evaluate the costs of a guaranteed-income scheme, predicting the outcome of a national election, planning a survey of television viewing habits, and estimating animal populations.
Today's consumer is bombarded with the results of so many quantitative studies using statistical methodology that it is necessary to know something about statistics in order to be properly critical. A basic knowledge of statistics should be an integral part of everyone's general education.

Probability theory is used to analyse the changing balance among the age-groups in a population as the birth rate changes, the control force needed to keep an aircraft on course through gusts of wind, the chance that the demand for electricity by all the customers served by a substation will exceed its capacity. These are just three of many phenomena that can be analysed in terms of randomness and probability.

The course offerings are intended not only for specialists in the theory of the subject but also to serve the needs of the many other disciplines that use statistical methods, e.g. in sample survey design and experimental design. Students following the Specialist Program are encouraged to include courses in major fields of application in their overall program. The Major Program can be profitably combined with specialization in another discipline.
Both applied and theoretical courses are offered in Statistics and Probability. The foundation courses STA220H1, STA221H1, STA250H1, STA255H1, STA257H1, STA261H1, and JBS229H1 are distinguished primarily by their mathematical demands, as indicated by the prerequisites. Students interested in the Biological or Social Sciences will generally find the most relevant courses of the more advanced courses to be STA302H1, STA322H1, STA332H1, and STA429H1. Furthermore, the probability course STA347H1 will be of interest to those whose field of application includes stochastic models.

Undergraduate Studies Coordinator: Professor D. Brenner; e-mail: brenner@utstat.utoronto.ca

Enquiries: 100 St. George Street, Sidney Smith Hall, Room 6018 (416-978-3452)

Statistics Programs

Enrolment in these programs requires completion of four courses; no minimum GPA is required.

Statistics (Science program)

Specialist program:
(11 full courses or their equivalent, including at least one 400-series course)

First Year:
CSC148H1/CSC260H1 (may be taken in 2nd year); MAT137Y1/MAT157Y1

Second Year:
MAT223H1/MAT240H1, MAT224H1/MAT247H1; MAT237Y1/MAT235Y1/MAT257Y1; (STA257H1, STA261H1) (MAT223H1/MAT240H1 recommended in First Year)

Higher Years:
1. STA302H1, STA347H1, STA352Y1
2. 1.5 courses from Group A (MAT237Y1 required) or 1.5 courses from Group B:

Group A:
STA410H1/STA442H1, STA422H1/STA438H1, STA447H1

Group B:
STA410H1, STA442H1, STA437H1/STA457H1

3. 1.0 courses from: APM346H1/APM351Y1, MAT334H1/MAT354H1, MAT337H1/MAT357H1, MAT301H1/MAT347Y1
4. 2.0 full courses from: ACT 300+ level courses; CSC336H1/CSC350H1, CSC354H1, CSC384H1; STA 300+ level courses

Note
Substitutions of other Science/Social Science 300+ level courses for up to 1.0 courses in 4. above are possible with approval of the Undergraduate Coordinator

Major program:
(6.5 full courses or their equivalent)

First Year:
CSC108H1/CSC148H1/CSC260H1 (may be taken in 2nd year); MAT135Y1/MAT137Y1/MAT157Y1

Second Year:
MAT223H1/MAT240H1, MAT235Y1/MAT237Y1/MAT257Y1; (STA257H1, STA261H1)/(STA250H1, STA255H1)/(STA247H1, STA248H1)
(MAT223H1/MAT240H1 recommended in First Year)

Higher Years:
1. STA302H1
2. A selection of four STA half-courses from STA322H1, STA332H1, STA347H1, STA352Y1, STA410H1, STA422H1, STA437H1, STA438H1, STA442H1, STA457H1, STA447H1, STA450H1

Note
Suggested combinations for the four STA half courses are as follows:
1. Four of: STA347H1, STA352Y1, STA447H1
2. Four of: STA322H1, STA332H1, STA410H1, STA437H1, STA442H1, STA457H1
3. Four of: STA332H1, STA347H1, STA410H1/STA437H1, STA442H1/STA422H1

Minor program:
(4 full courses or their equivalent)
1. MAT135Y1/MAT137Y1
2. MAT223H1/MAT240H1; (STA250H1/(STA220H1, STA221H1), STA255H1)/(STA247H1, STA248H1)/(STA257H1, STA261H1)
3. (STA302H1, STA352Y1)/three STA half-courses at the 300/400-level

Statistics and Computer Science - See Computer Science

Statistics and Economics - See Economics

Statistics and Mathematics (Science program)

Consult Professor J.S. Rosenthal, Department of Statistics.

Specialist program:
(11 full courses or their equivalent, including at least one 400-series course)

First Year:
MAT157Y1, MAT240H1

Second Year:
MAT247H1, MAT257Y1, MAT267H1, STA257H1, STA261H1

Third and Fourth Years:
1. MAT327H1, MAT354H1, MAT357H1; STA352Y1, STA347H1, STA447H1
2. At least 2 half-courses from STA302H1, STA332H1, STA410H1, STA437H1, STA442H1, STA450H1
3. At least 2 half-courses from STA422H1, STA438H1, STA457H1
4. At least one 300+ level f.c.e. from APM, CSC, MAT

Note
The Department recommends that PHY140Y1 be taken in first year, and that CSC148H1/CSC260H1 be taken during the program


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