209.3 sec. 001 - Introductory Statistics (Fall 2020)
Instructor: Rebecca Goldstein (view instructor's profile)
View all teaching evaluations for this course - degree students only
Units: 4
Grading Designation: Graded
Due to COVID-19, this class is remote for Fall 2020.
Mode of Instruction: Remote Instruction
Meetings:
Tu 10:00 AM - 11:50 AM
Location: Internet/Online
From August 18, 2020
To November 20, 2020
Th 10:00 AM - 11:50 AM
Location: Internet/Online
From August 18, 2020
To November 20, 2020
Course End: November 20, 2020
Class Number: 32752
Enrollment info:
Enrolled: 5
Waitlisted: 0
Enroll Limit: 15
As of: 12/07 09:41 AM
This course is the required first-year quantitative methods course for JSP students. The goal of this course is to provide students with enough background in probability and statistics so that they can successfully:
--evaluate basic quantitative empirical research in law and social science
--begin to conduct their own empirical research
--take more advanced quantitative methods courses to further develop their skills.
The course focuses on quantitative research design and the general concepts that underly statistical inference. The hope is that students who successfully complete the course will be able to think clearly about a wide range of substantive problems.
This course is a starting point. It is simply not possible to cover what the typical empirical researcher should know about probability and statistics in one course. Students who plan to do empirical research should take several additional methodology courses.
The course textbook will be Quantitative Social Science by Kosuke Imai.
Exam Notes: (TH) Take-home examination
Course Category: Jurisprudence and Social Policy (JSP)
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Readers:
No reader.
Books:
Required Books are in blue
- Quantitative Social Science: An Introduction
Imai
Edition: 2017
ISBN: 9780691175461
e-Book Available: Yes
e-Book procurement note: https://www.amazon.com/dp/B01M34JHIM/?tag=princetonuniv-20
Copyright Date: To Be Determined
Price: $49.50
Price Source: user provided