STAT 151 - Introduction to Applied Statistics I

★ 3 (fi 6)(EITHER, 3-0-0)

Faculty of Science

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. Note : 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, SCI 151 or SOC 210.

No future terms

Winter Term 2023

Lectures

Section Capacity Dates + Times Instructor(s)
LECTURE P1
(46660)
225
2023-01-05 - 2023-04-12
MWF 08:00 - 08:50 (T L-12)
Primary Instructor: Mathieu Chalifour
LECTURE Q1
(44380)
225
2023-01-05 - 2023-04-12
MWF 09:00 - 09:50 (C E1-60)
Primary Instructor: Haile Gessesse
LECTURE R1
(44227)
225
2023-01-05 - 2023-04-12
MWF 12:00 - 12:50 (T L-12)
Primary Instructor: Rosana Fok
LECTURE S1
(44812)
225
2023-01-05 - 2023-04-12
MWF 13:00 - 13:50 (T L-12)
Primary Instructor: Rosana Fok
LECTURE T1
(44226)
225
2023-01-05 - 2023-04-12
MWF 14:00 - 14:50 (T LB-001)
Primary Instructor: A Simchi
LECTURE T2
(44826)
210
2023-01-05 - 2023-04-12
MWF 14:00 - 14:50 (ETLC E1-007)
Primary Instructor: Paul Cartledge
LECTURE U1
(44813)
250
2023-01-05 - 2023-04-12
TH 14:00 - 15:20 (CCIS L2-190)
Primary Instructor: Valerie Budd

Spring Term 2023

Lectures

Section Capacity Dates + Times Instructor(s)
LECTURE A1
(60158)
160
2023-05-08 - 2023-06-14
MTWHF 13:30 - 14:40 (CCIS L2-190)

Summer Term 2023

Lectures

Section Capacity Dates + Times Instructor(s)
LECTURE B1
(70068)
200
2023-07-10 - 2023-08-16
MTWHF 13:30 - 14:40 (CCIS L2-190)