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Course Description
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Course Name
Statistical Methods in Economics
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Host University
Queen Mary, University of London
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Location
London, England
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Area of Study
Economics, Statistics
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Language Level
Taught In English
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Prerequisites
-ECN112
-ECN114 -
Course Level Recommendations
Lower
ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.
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UK Credits
15 -
Recommended U.S. Semester Credits4
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Recommended U.S. Quarter Units6
Hours & Credits
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Overview
Credits: 15.0
Overlap: BUS020,GEG182
Prerequisite: ECN112 ECN114The module is an introduction to Probability and Statistics. Topics include: Descriptive statistics and linear regression; Probability theory; Random variables and probability distributions; Sampling distributions; Estimation; Confidence intervals; Hypothesis testing. The objective of this module is to give students a grounding in the use of data for description and inference. Topics include descriptive statistics; probability theory; random variables and probability distributions; sampling distributions; properties of estimators; confidence intervals; hypothesis testing.
Assessment: 30.0% Coursework, 70.0% Examination
Level: 4
Course Disclaimer
Courses and course hours of instruction are subject to change.
Eligibility for courses may be subject to a placement exam and/or pre-requisites.
Some courses may require additional fees.
Credits earned vary according to the policies of the students' home institutions. According to ISA policy and possible visa requirements, students must maintain full-time enrollment status, as determined by their home institutions, for the duration of the program.
Please reference fall and spring course lists as not all courses are taught during both semesters.
Please note that some courses with locals have recommended prerequisite courses. It is the student's responsibility to consult any recommended prerequisites prior to enrolling in their course.