Fall 2006
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ECON 203
Economic Statistics II

Credit:  3 hours.


Continuation of ECON 202. Builds upon point and interval estimation as well as hypothesis testing skills first introduced in ECON 202. Utilizes a practical project format to extend the student skill set to include simple and multiple linear regression and time series techniques. Prerequisite: ECON 202; one of MATH 220, MATH 221, MATH 234.


Students must register for one lab and one lecture section.

Section Information
CRNTypeSectionTimeDays Location  Instructor
37870  laboratory  AB1 08:00 AM - 08:50 AM  room 101
901 W Oregon 
Petry, J; Etebari, R 
37871  laboratory  AB2 09:00 AM - 09:50 AM  room 101
901 W Oregon 
Petry, J; Etebari, R 
37875  laboratory  AB6 12:00 PM - 12:50 PM  room 101
901 W Oregon 
Petry, J; Yang, J 
37876  laboratory  AB7 01:00 PM - 01:50 PM  room 101
901 W Oregon 
Petry, J; Yang, J 
37877  laboratory  AB8 04:00 PM - 04:50 PM  room 101
901 W Oregon 
Petry, J; Atasoy, H 
37878  laboratory  AB9 05:00 PM - 05:50 PM  room 101
901 W Oregon 
Petry, J; Atasoy, H 
37869  lecture  AL1 12:30 PM - 01:20 PM TR  room 112
Gregory Hall 
Petry, J 
This lecture will meet twice a week for a large lecture and once a week in a computer lab with a Teaching Assistant. Excel knowledge is assumed. There will be evening exams and a final exam.

37881  laboratory  BB2 10:00 AM - 10:50 AM  room 101
901 W Oregon 
Petry, J; Ergul, E 
37882  laboratory  BB3 11:00 AM - 11:50 AM  room 101
901 W Oregon 
Petry, J; Ergul, E 
37897  laboratory  BB6 06:00 PM - 06:50 PM  room 101
901 W Oregon 
Petry, J; Parker, T 
37898  laboratory  BB7 02:00 PM - 02:50 PM  room 101
901 W Oregon 
Petry, J; Sahakyan, Z 
37899  laboratory  BB8 03:00 PM - 03:50 PM  room 101
901 W Oregon 
Petry, J; Sahakyan, Z 
37901  laboratory  BB9 07:00 PM - 07:50 PM  room 101
901 W Oregon 
Petry, J; Parker, T 
37879  lecture  BL1 01:30 PM - 02:20 PM TR  room 112
Gregory Hall 
Petry, J 
This lecture will meet twice a week for a large lecture and once a week in a computer lab with a Teaching Assistant. Excel knowledge is assumed. There will be evening exams and a final exam.