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Statistical Sciences

Faculty List

Professors Emeriti 
D.F. Andrews, M Sc, Ph D 
D.A.S. Fraser, BA, Ph D, FRSC 
I. Guttman, MA, Ph D 
P. McDunnough, M Sc, Ph D 
M.S. Srivastava, M Sc, Ph D 
A.M. Vukov, MA, ASA 

Professor and Chair of the Department 
J. Stafford, M Sc, Ph D 

Professor and Associate Chair, Graduate Studies 
F. Yao, B Sc, M Sc, Ph D 

Professor and Associate Chair Undergraduate Studies 
S. Broverman, M Sc, Ph D, ASA, Actuarial Science 

Associate Professor, Teaching Stream and Associate Chair, Undergraduate Studies 
A. Gibbs, B. Math, B Ed, M Sc, Ph D, Statistics 

University Professor 
N.M. Reid, M Sc, Ph D, FRSC, OC 

Professors 
R. Craiu, B Sc, Ph D 
M.J. Evans, MA, Ph D (UTSC) 
A. Feuerverger, B Sc, Ph D 
S. Jaimungal , BA Sc, M Sc, Ph D 
K. Knight, M Sc, Ph D 
X.S. Lin, M Sc, Ph D, ASA 
R. Neal, B Sc, Ph D 
J. Quastel, MS, Ph D 
J.S. Rosenthal, MA, Ph D 
L. Sun, B Sc. Ph D 
B. Virag, Ph D (UTSC) 

Associate Professors 
A. Badescu, B Sc, M Sc, Ph D 
D. Brenner M Sc, Ph D 
L.J. Brunner, MA, Ph D (UTM) 
Z. Zhou, B Sc, Ph D 

Assistant Professors 
D. Kong, Ph D (UTM) 
D. Roy, B Sc, M Sc, Ph D (UTSC) 

Associate Professor, Teaching Stream 
B. White, Ph D 

Assistant Professors, Teaching Stream 
N. Taback, B Sc, M Sc, Ph D 
V. Zhang, B Sc, M Sc, FSA, ACIA 

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. Students in these programs may also qualify for the A. Stat. designation from the Statistical Society of Canada.

Both applied and theoretical courses are offered in Statistics and Probability. The foundation courses STA220H1STA221H1STA247H1STA248H1STA255H1STA257H1, and STA261H1 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 offerings to be STA302H1STA303H1STA304H1STA305H1 and STA429H1. The probability course STA347H1 will be of interest to those whose field of application includes stochastic models.

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

Associate Chair, Undergraduate Studies: Statistics - Professor R. Neal; e-mail: ugchair.stats@utstat.utoronto.ca

Associate Chair, Undergraduate Studies: Actuarial Science - Professor S. Broverman; e-mail: ugchair.actsci@utstat.utoronto.ca