Michael Kowalski
Fall Term 2026 (1970)
STAT 151 - Introduction to Applied Statistics I
3 units (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. Prerequisite: Mathematics 30-1 or 30-2. Notes: (1) Credit can be obtained in at most one of STAT 151, STAT 161, and STAT 235. (2) This course may not be taken for credit if credit has been obtained in STAT 222, STAT 266, STAT 276, KIN 109, PEDS 109, PSYCH 211, PTHER 352, SCI 151, SOC 210 or SOC 320.
LECTURE B1 (51351)
2026-09-01 - 2026-12-08
MWF 10:00 - 10:50
LECTURE D1 (53139)
2026-09-01 - 2026-12-08
MWF 13:00 - 13:50
STAT 161 - Introductory Statistics for Business and Economics
3 units (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. Notes: (1) Credit can be obtained in at most one of STAT 151, STAT 161, and STAT 235. (2) This course may not be taken for credit if credit has been obtained in obtained in STAT 222, STAT 266, STAT 276, KIN 109, PEDS 109, PSYCH 211, PTHER 352, SCI 151 or SOC 320.
LECTURE A1 (53066)
2026-09-01 - 2026-12-08
MWF 12:00 - 12:50
Winter Term 2027 (1980)
STAT 252 - Introduction to Applied Statistics II
3 units (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 Q1 (77411)
2027-01-04 - 2027-04-09
MWF 09:00 - 09:50
LECTURE R1 (77529)
2027-01-04 - 2027-04-09
MWF 12:00 - 12:50
STAT 265 - Probability and Statistics I
3 units (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 STAT 181, STAT 281, or STAT 265.
LECTURE Q1 (80801)
2027-01-04 - 2027-04-09
TR 12:30 - 13:50