Langara Course Information

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STAT 4810: Intermediate Quantitative Methods

Course FormatLecture 4.0 h + Seminar 0.0 h + Lab 0.0 h
Credits3.0

Topics in this course include one and two population statistical inference; simple linear regression; multiple regression; index numbers and time series analysis; statistical decision theory; and linear programming. This course is intended primarily for students in a college business administration degree program.

Students will receive credit for only one of STAT 1224, 1225, 2225, 2322, 3222, 3223, or 4810. STAT 3223 may not be used to satisfy the STAT 4810 requirement.

Registration in this course is restricted to students admitted to the Post-Degree Diploma in Accounting.

Prerequisite(s): A minimum "C+" grade in STAT 4800.


Course Attributes:
2nd Year Arts
2nd Year Science
Humanities
Lab Science
Science
Social Science
University
Transferable
Other Attributes:
Offered online:No
Preparatory course:No
Repeat limit2
Additional fees:
First offered:Summer 2017
Last offered:Fall 2025
Registration
restrictions:		RP
Outline(s):No outline found.
Transfer Agreements
CourseDestinationCreditStart to End
No active transfer agreements.
Inactive Transfer Agreements (click to open)
CourseDestinationCreditStart to End
No inactive transfer agreements.

Offerings of this course:

SemesterCRNSectionSeatsWaitlistDaysTimeRoomTypeInstructor
Fall 20253084000125N/AM-W----1230-1420 LectureYu-Ling Tsai
Summer 20252031000115 M-W----1230-1420B010LectureYu-Ling Tsai
Spring 2025101590014 M-W----1230-1420B029LectureRuwan Karunanayaka
-----S-0900-1155B254ExamRuwan Karunanayaka
Fall 2024305370016 M-W----1230-1420A363BLectureYu-Ling Tsai
--W----1830-2125B031ExamEugene Li, Yu-Ling Tsai
Summer 20242071600112 M-W----1230-1420B031LectureYu-Ling Tsai
--W----1830-2125B152ExamShuk Wong Li, Yu-Ling Tsai
Spring 20241107100113 M-W----1230-1420B152LectureRuwan Karunanayaka
--W----1830-2125B155ExamRuwan Karunanayaka
Fall 20233044100114 M-W----1230-1420A210LectureYu-Ling Tsai
--W----1830-2125B031ExamRobin Susanto, Yu-Ling Tsai
Summer 20232062500118 M-W----1230-1420B152LectureYu-Ling Tsai
--W----1830-2125B152ExamYu-Ling Tsai
Spring 20231094000115 M-W----1230-1420B152LectureRuwan Karunanayaka
M------1830-2125B032ExamRuwan Karunanayaka
Fall 2022308040010 M-W----1230-1420B022LectureYu-Ling Tsai
M------1830-2125B022ExamYu-Ling Tsai
Summer 2022205140017 M-W----1230-1420B032LectureYu-Ling Tsai
M------1830-2125B153ExamYu-Ling Tsai
Spring 2022111410016 M-W----1230-1420A346LectureRuwan Karunanayaka
---R---1830-2125A346ExamRuwan Karunanayaka
Summer 202120616W010 M-W----1230-1420WWWWWWYu-Ling Tsai
--W----1830-2025WWWExamYu-Ling Tsai
Spring 202110940W019 M-W----1430-1620WWWWWWRuwan Karunanayaka
M------1830-2125WWWExamRuwan Karunanayaka
Fall 202031632W016 M-W----1230-1420WWWWWWYu-Ling Tsai
--W----1830-2025WWWExamYu-Ling Tsai
Summer 202021205W017 M-W----1230-1420WWWWWWYu-Ling Tsai
--W----1830-2025WWWExamYu-Ling Tsai
Spring 2020114930017 M-W----1430-1620B023LectureRuwan Karunanayaka
---R---1830-2125B031ExamRuwan Karunanayaka
Fall 2019301960012 M-W----1230-1420B023LectureYu-Ling Tsai
----F--1830-2125B023ExamYu-Ling Tsai
Summer 2019201830018 -T-R---1030-1220B030LectureYu-Ling Tsai
M------1830-2125B030ExamYu-Ling Tsai
Spring 2019108850011 M-W----1430-1620B031LectureAlbert Wong
M------1830-2125B031ExamAlbert Wong
Fall 2018313270015 M------1230-1420A274LectureYu-Ling Tsai
--W----1230-1420A272LectureYu-Ling Tsai
----F--1830-2125A272ExamYu-Ling Tsai
Summer 20182027100112 M-W----1230-1420A215LectureYu-Ling Tsai
-T-----1830-2125A215ExamYu-Ling Tsai
Spring 20181122900113 M-W----1230-1420A363LectureAlbert Wong
--W----1830-2125A363ExamAlbert Wong
Summer 2017205370010N/A---R---1830-2120B247LectureAlbert Wong
---R---1830-2125B247ExamAlbert Wong