Spring 2024 - ECON 233 D100
Introduction to Economic Data and Statistics (3)
Class Number: 2506
Delivery Method: In Person
Overview
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Course Times + Location:
Jan 8 – Apr 12, 2024: Mon, 2:30–4:20 p.m.
Burnaby -
Exam Times + Location:
Apr 24, 2024
Wed, 3:30–6:30 p.m.
Burnaby
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Instructor:
Brian Krauth
bkrauth@sfu.ca
1 778 782-4438
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Prerequisites:
MATH 150, MATH 151, MATH 154, or MATH 157, with a minimum grade of C-; 15 units. MATH 150, MATH 151, MATH 154, or MATH 157 may be taken concurrently with ECON 233.
Description
CALENDAR DESCRIPTION:
Introduces statistical methods, concepts and their application to economic data using both spreadsheets (e.g., Excel) and a specialized statistical programming language such as R. Students who have taken ECON 333 first may not then take this course for further credit. STAT 270 or BUS 232 will be accepted in lieu of this course.
COURSE DETAILS:
Description: This course introduces the basics of probability and statistics for economics students. Like STAT 270 or BUS 232, it satisfies the lower-division statistics requirements for the economics major. It differs from these courses in two important ways:
1. We will emphasize the use of economic data to answer economic questions.
2. We will learn to use both Excel (the standard analysis tool in the business world) and R (a more powerful statistical analysis package that is increasingly used in the business and academic world, and is the main tool used in ECON 333).
Extensive support will be available to help students complete the computer assignments and build their computer skills, so do not shy away from this course just because you lack confidence in your current skills.
COURSE-LEVEL EDUCATIONAL GOALS:
Topics:
1. Data cleaning with Excel
2. Probability and random events
3. Random variables
4. Data analysis with Excel
5. Statistics
6. Statistical models, parameters, and estimation
7. Statistical inference
8. Using R (including R Markdown, the Tidyverse, and ggplot)
9. Multivariate data analysis with Excel and R
Grading
- Weekly online quizzes 10%
- Weekly computer assignments 20%
- Midterm Test 1 20%
- Midterm Test 2 20%
- Final Exam 30%
NOTES:
Bonus points can be earned on quizzes and assignments by consistently attending lecture and tutorial.
Materials
REQUIRED READING:
Brian Krauth, Introductory Statistics for Economics. Free e-book.
REQUIRED READING NOTES:
Your personalized Course Material list, including digital and physical textbooks, are available through the SFU Bookstore website by simply entering your Computing ID at: shop.sfu.ca/course-materials/my-personalized-course-materials.
Department Undergraduate Notes:
Please note that, as per Policy T20.01, the course requirements (and grading scheme) outlined here are subject to change up until the end of the first week of classes.
Final exam schedules will be released during the second month of classes. If your course has a final exam, please ensure that you are available during the entire final exam period until you receive confirmation of your exam dates.
Students requiring accommodations as a result of a disability must contact the Centre for Accessible Learning (CAL) at 778-782-3112 or caladmin@sfu.ca.***NO TUTORIALS DURING THE FIRST WEEK OF CLASSES***
Registrar Notes:
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS
SFU’s Academic Integrity website http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating. Check out the site for more information and videos that help explain the issues in plain English.
Each student is responsible for his or her conduct as it affects the university community. Academic dishonesty, in whatever form, is ultimately destructive of the values of the university. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the university. http://www.sfu.ca/policies/gazette/student/s10-01.html