General purpose introduction to principles of analysis and inference under conditions of uncertainty. Focuses on the logic of statistical inference. Topics include probability, probability distributions, random variables, sampling and sampling distributions, estimation, hypothesis testing, and linear regression and correlation. Prerequisite: Proficiency in algebra at introductory level. Credit not given for both Quantitative Methods 227 and either Psychology 245 or Sociology 344.
Recent sections
Fall 2026 · 6 sections
Section
Days & time
Location
Instructor
01Class #64584
Days & timeTu Th · 9:30 – 10:45 AMAug 26 – Dec 17
LocationKoch Center 125
InstructorUnderhill, S
01 notes: Instructional method: Lecture
02Class #64585
Days & timeTu Th · 1:15 – 2:30 PMAug 26 – Dec 17
LocationKoch Center 125
InstructorLiu, N
02 notes: Instructional method: Lecture
H01Class #64587
Days & timeTu Th · 9:30 – 10:45 AMAug 26 – Dec 17
LocationKoch Center 125
InstructorUnderhill, S
H01 notes: Instructional method: Lecture
H02Class #64588
Days & timeTu Th · 1:15 – 2:30 PMAug 26 – Dec 17
LocationKoch Center 125
InstructorLiu, N
H02 notes: Instructional method: Lecture
E01Class #64838
Days & timeMo We · 2:00 – 3:15 PMAug 26 – Dec 3
LocationHarlaxton Mnr. LIBS
InstructorHall, K
E01 notes: Instructional method: Lecture
03Class #65492
Days & timeMo We Fr · 1:00 – 1:50 PMAug 26 – Dec 17