Elementary probability, populations, samples and distributions with biological examples. Methods for data summary and presentation. Estimation,...

Empirical problem solving with applications to software engineering. An introduction to probability theory. An introduction to distribution theory and...

Descriptive statistics, probability, discrete and continuous random variables. Sampling distributions and simple hypothesis testing. Introduction to...

The laws of probability, discrete and continuous random variables, expectation, central limit theorem. [Offered: F,W] Prereq: One of MATH 119, 128,...

Empirical problem solving, measurement systems, causal relationships, statistical models, estimation, confidence intervals, tests of significance....

The laws of probability, discrete and continuous random variables, expectation, central limit theorem. [Note: STAT 230 is normally taken in second...

This course will provide an introduction to statistical methods in health research. Topics to be covered include types of medical data, measures of...

STAT 240 is an advanced-level enriched version of STAT 230. [Note: STAT 240 is normally taken in second year. Students with an average of at least 80%...

STAT 241 is an advanced-level enriched version of STAT 231. [Note: Students with a cumulative math average of at least 80% are encouraged to register...

This is an applications oriented course which prepares the nonmathematical student to use the computer as a research tool. Topics include aids for...

Modeling the relationship between a response variable and several explanatory variables via regression models. Model diagnostics and improvement....

Planning sample surveys; simple random sampling; stratified sampling. Observational and experimental studies. Blocking, randomization, factorial...

Maximum likelihood estimation. Random variables and distribution theory. Generating functions. Functions of random variables. Limiting distributions....

Modeling the relationship between a response variable and several explanatory variables (an output-input system) via regression models. Least squares...

Designing sample surveys. Probability sampling designs. Estimation with elementary designs. Observational and experimental studies. Blocking,...

Review of basic probability. Generating functions. Theory of recurrent events. Markov chains, Markov processes, and their applications. [Offered:...

Random variables and distribution theory, conditional expectations, moment and probability generating functions, change of variables, random walks,...

Building and validation of stochastic simulation models useful in computing, operations research, engineering and science. Related design and...

Approximation and optimization of noisy functions. Simulation from univariate and multivariate distributions, multivariate normal distribution,...