ECON 2500

Introductory Statistics for Economists I

York University

Provides an introduction to statistical techniques. Topics covered include descriptive statistics and frequency distributions, measures of location and dispersion, random variables, sampling distributions, probability theory and mathematical expectations, the normal distribution, correlation, and the design and interpretation of hypothesis tests.
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Shafkat Ali

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ECON 2500 Lecture Notes - Winter 2019, Lecture 13 - Central Tendency, Physical Attractiveness, Statistical Inference
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Economics
ECON 2500
Shafkat Ali

ECON 2500 Syllabus for Shafkat Ali — Winter 2019

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York University
Faculty of Liberal Arts & Professional Studies
Department of Economics
Fall 2018
AP/ECON 2500 3.0 M : Introductory Statistics for Economists I
Course Webpage: https://moodle.yorku.ca/
Course Instructor/Contact:
Name: Shafkat Ali
Office: VH 1057
Office Hours: TBA
Email: shafkat@ yorku.ca
LectureTime and Location:
Lecture: T R 16:00-17:30
Location: LSB 103
Prerequisite / Co-requisite:
N/A
Course Description:
This course provides an introduction to statistical techniques. Topics covered include descriptive
statistics and frequency distributions, measures of location and dispersion, random variables,
sampling distributions, probability theory and mathematical expectations, the normal
distribution, correlation, and the design and interpretation of hypothesis tests.
Weighting of Course:
Evaluation: In-class quizzes 20%
Midterm 20%
Final 60%
Missed exams/Tests:
There will be no make-ups for the midterm exam. If, for some reason students miss the
midterm, the weight will be transferred to the final. The deferred exam for the final exam will be
granted only for medical reasons. In such cases students should submit a deferred exam
application together with the supporting documents (attending physician’s statement) to the
economics department to my attention. The date and time of the deferred exam will be set at a
later date. Students who may require further extensions or accommodation will have to submit a
formal petition to the Faculty.
Grading
The grading scheme for the course conforms to the 9-point grading system used in undergraduate
programs at York (e.g., A+ = 9, A = 8, B+ = 7, C+ = 5, etc.). Assignments and tests will bear
either a letter grade designation or a corresponding number grade (e.g. A+ = 90 to 100, A = 80 to
90, B+ = 75 to 79, etc.)
Course Text:
INTRODUCTION TO THE PRACTICE OF STATISTICS , 9th ed.
Author: MOORE
Organization of the Course (Topics):
Looking at data – distributions
Looking at data – relationships Producing data
Probability – the study of randomness
Sampling distributions
Introduction to inference
Inference for distributions (part of the chapter)
Important Course Information for Students:
All students are expected to familiarize themselves with the following information, available on
the Senate Committee on Curriculum & Academic Standards webpage;
http://www.yorku.ca/secretariat/policies/index-policies.html/
York’s Academic Honesty Policy and Procedures/Academic Integrity Website
Academic Honesty and Integrity: Conduct that violates the ethical or legal standards of
the University community or of one’s program or specialization is subject to severe
penalties. Students are responsible for understanding the nature and consequences of
these offences, as contained in the Senate Policy on Academic Honesty, found on the
York University Senate WEB page:
http://www.yorku.ca/secretariat/policies/document.php?document=69
Ethics Review Process for research involving human participants
http://www.yorku.ca/secretariat/policies/document.php?document=94
Course requirement accommodation for students with disabilities, including physical,
medical, systemic, learning and psychiatric disabilities
http://www.yorku.ca/secretariat/policies/document.php?document=68
Student Conduct Standards
http://www.yorku.ca/oscr/standards.html
Religious Observance Accommodation
https://w2prod.sis.yorku.ca/Apps/WebObjects/cdm.woa/wa/regobs
Important Dates
Winter Term 2019
Last date to add a course without permission of
instructor
Jan. 16
Last date to add a course with permission of
instructor
Jan. 30
Last date to drop a course without receiving a
grade
March 8
Course Withdrawal Period
March 9-April 3

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