STAT 151 - Introduction to Applied Statistics I

★ 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. 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, PSYCO 211, SCI 151 or SOC 210.

Winter Term 2022

Lectures

LECTURE P1 (76248)
Capacity: 230
2022-01-05 - 2022-04-08
MWF 08:00 - 08:50 (C E1-60)
Primary Instructor: Paul Cartledge

LECTURE Q1 (71658)
Capacity: 230
2022-01-05 - 2022-04-08
MWF 09:00 - 09:50 (CCIS 1-440)
Primary Instructor: Rosana Fok

LECTURE R1 (71324)
Capacity: 230
2022-01-05 - 2022-04-08
MWF 12:00 - 12:50 (C E1-60)
Primary Instructor: A Simchi

LECTURE S1 (72610)
Capacity: 230
2022-01-05 - 2022-04-08
MWF 13:00 - 13:50 (ED 2-115)
Primary Instructor: Michael Kowalski

LECTURE T1 (71322)
Capacity: 230
2022-01-05 - 2022-04-08
MWF 14:00 - 14:50 (ETLC E1-001)
Primary Instructor: Gregory Wagner

LECTURE T2 (72638)
Capacity: 210
2022-01-05 - 2022-04-08
MWF 14:00 - 14:50 (T LB-002)
Primary Instructor: A Simchi

LECTURE U1 (72612)
Capacity: 250
2022-01-05 - 2022-04-08
TH 14:00 - 15:20 (CCIS L2-190)
Primary Instructor: Yafei Wang

LECTURE V1 (77131)
Capacity: 40
2022-01-05 - 2022-04-08
MWF 13:00 - 13:50 (MEC 4-1)
Primary Instructor: Valerie Budd