ACE 264

Spring 2022 All Classes

All Classes

Applied Statistical Methods & Data Analytics 2

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Credit: 3 hours.

Offers the statistical and econometric tools to describe and understand common economic issues. The emphasis will be on the multiple regression model and its associated extensions regularly used to overcome traditional econometric issues. The course will introduce and use an advanced statistical software for hands-on exercises. No prior experience with the software is expected or required.

Credit is not given for ACE 264 if credit for ECON 203 or equivalent has been earned. Prerequisite: MATH 124 or MATH 125; ACE 262.

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ACE 264 class schedule data for spring 2022
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	70717	Lecture-Discussion	AS2	12:30PM -1:50PM	TR	Gregory Hall	Dall'Erba, S	Part of Term: 1 Date Range: 01/18/22-05/04/22 Section Info: Learn statistical methods for applied economics. Focus will be on answering questions with the multiple regression model. We cover common econometric problems. The course also covers an introduction to the statistical language R. All exercises will be conducted in R and RStudio, but no prior experience in R is expected or required. . Prerequisite: MATH 124 or MATH 125; ACE 261 or ACE 262 or ECON 202 or equivalent. Restriction(s): Restricted to students in the Agr & Consumer Economics department.