Michael Agronah

Assistant Lecturer, Faculty of Science - Mathematics & Statistical Sciences
Directory

Winter Term 2026 (1940)

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, confidence intervals and hypothesis testing. Correlation and regression analysis. ANOVA. 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 or SOC 210.

LECTURE T1 (82709)

2026-01-05 - 2026-04-10
MWF 14:00 - 14:50

LECTURE U1 (83170)

2026-01-05 - 2026-04-10
TR 14:00 - 15:20



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, confidence intervals and hypothesis testing. Correlation and regression analysis. ANOVA. 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 210.

LECTURE S2 (84924)

2026-01-05 - 2026-04-10
TR 12:30 - 13:50

Summer Term 2026 (1960)

STAT 266 - Probability and Statistics II

3 units (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 STAT 281. Corequisites: One of MATH 225 or 227. Credit can only be obtained in one of STAT 266 or STAT 276.

LECTURE B1 (40030)

2026-07-06 - 2026-08-12
MTWRF 13:00 - 14:10