A course stressing the practical methods of Statistics. Topics include: descriptive statistics; univariate models such as binomial, Poisson, uniform...
The methods of STAT*2040 are extended to the multi-sample cases. Methods include: simple and multiple regression analysis including ANOVA and...
This course is designed for students interested in the application of statistics in a business setting. Topics covered will include the role of...
The topics covered in this course include: Frequency distributions, graphing and tabulation of data; measures of central tendency, variability and...
Design of sample surveys. Analysis of qualitative data. Analysis of variance for designed experiments. Multiple regression and analysis of covariance....
The topics covered in this course include: Sample spaces; probability, conditional probability and independence; Bayes' theorem; probability...
This course in biostatistical methods will emphasize the design of research projects, data gathering, analysis and the interpretation of results....
The topics covered in this course include: Probability spaces; discrete and continuous random variables; multivariate distributions; expectations;...
Estimation, unbiasedness, Cramer-Rao inequality, consistency, sufficiency, method of moments, maximum likelihood estimation; hypothesis testing,...
Basic principles of design: randomization, replication, and local control (blocking); RCBD, Latin square and crossover designs, incomplete block...
The topics covered in this course include: Theory and applications of regression techniques; linear, non-linear and multiple regression and...
The topics covered in this course include: Non-probability and probability sampling, simple random sampling, stratified sampling, cluster sampling,...
Contemporary statistical methods for assessing risk, including dose-response models, survival analysis, relative risk analysis, bioassay, estimating...
Topics such as statistical computing procedures, quality control, bioassay, survival analysis and introductory stochastic processes. Intended for...
This course on methods of statistical inference reviews and extends the theory of estimation introduced in STAT*3110: interval estimation tests for...
Samplings from the multivariate normal distribution, Wishart and Hotelling's T@ distribution statistical inference on the mean vector, canonical...
This course will investigate the nature of stationary stochastic processes from the spectral and time domain points of view. Aspects of parameter...
Each student in this course will undertake an individual research project in some area of statistics, under the supervision of a faculty member. A...