Rosana Fok

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

Fall Term 2025 (1930)

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 C1 (53963)

2025-09-02 - 2025-12-08
MWF 12:00 - 12:50

LECTURE D1 (53964)

2025-09-02 - 2025-12-08
MWF 13:00 - 13:50

LECTURE 800 (55772)

2025-09-02 - 2025-12-08
01:00 - 01:00

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 R1 (82710)

2026-01-05 - 2026-04-10
MWF 12:00 - 12:50

LECTURE V1 (87094)

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



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, 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 F20C (89534)

2026-01-09 - 2026-04-13
TR 10:00 - 11:50