Michael Kowalski

Science Faculty Lecturer, Faculty of Science - Mathematics & Statistical Sciences
Directory
No past terms No future terms

Winter Term 2024 (1860)

STAT 161 - Introductory Statistics for Business and Economics

★ 3 (fi 6)(EITHER, 3-0-0)

Data collection and presentation, descriptive statistics. Probability distributions, sampling distributions and the central limit theorem. Point estimation and hypothesis testing. Correlation and regression analysis. Goodness of fit and contingency table. Use of a microcomputer software package for statistical analyses in business and economics. Prerequisite: Mathematics 30-1 or 30-2. This course may not be taken for credit if credit has been obtained in any STAT course, or in KIN 109, PEDS 109, PSYCH 211, PTHER 352, SCI 151 or SOC 210.

LECTURE R2 (11269)

2024-01-08 - 2024-04-12
MWF 10:00 - 10:50 (CCIS L2-200)



STAT 252 - Introduction to Applied Statistics II

★ 3 (fi 6)(EITHER, 3-0-0)

Methods in applied statistics including regression techniques, analysis of variance and covariance, and methods of data analysis. Applications are taken from Biological, Physical and Social Sciences, and Business. Prerequisite: One of STAT 141, 151, 161, 235 or SCI 151. Notes: (1) Credit can be obtained in at most one of STAT 252, 319, 337 or 341, or AREC 313. (2) This course may not be taken for credit if credit has already been obtained in STAT 368 or 378.

LECTURE S1 (13479)

2024-01-08 - 2024-04-12
TR 11:00 - 12:20 (BS M-145)



STAT 266 - Probability and Statistics II

★ 3 (fi 6)(SECOND, 3-0-0)

Functions of random variables, sampling distributions, Central Limit Theorem, law of large numbers, statistical models for the data, likelihood, parameters and their interpretation, objectives of statistical inference, point and interval estimation, method of moments, basic notions of testing of hypotheses, errors of the first and second kind, significance level, power, p-value. Prerequisites: one of MATH 209, MATH 214, or MATH 217 and one of STAT 265 or MATH 281. Corequisites: One of MATH 225 or 227. Credit can only be obtained in one of STAT 266 or STAT 276.

LECTURE Q1 (13871)

2024-01-08 - 2024-04-12
TR 12:30 - 13:50 (T B-95)

Spring Term 2024 (1870)

STAT 265 - Probability and Statistics I

★ 3 (fi 6)(FIRST, 3-0-0)

Sample space, events, combinatorial probability, conditional probability, independent events, Bayes Theorem, random variables, discrete random variables, expected values, moment generating function, inequalities, continuous distributions, multivariate distributions, independence. Corequisite: One of MATH 209, 214 or 217. Note: Credit can be obtained in at most two of MATH 181, MATH 281, or STAT 265.

LECTURE A1 (30105)

2024-05-06 - 2024-06-12
MTWRF 11:30 - 12:40 (CCIS L1-140)