Personnel
Instructor:  Shihomi
AraAksoy (Email: ) 

Course Information
Schedule:  Fridays 9:0011:45, D12 

Office hours:  By appointment. 
Course description /objective: 
The purpose of this course is to introduce
important concepts of statistics, such as sampling, estimation, hypothesis
testing and regression analysis. An introduction of analysis of variance
(ANOVA) and timeseries analysis will also be discussed. Students are
expected to learn the methods of inferential statistics, the logics of
hypothesis testing and regression analysis. The topics covered in this class
will be important building blocks especially for the econometrics classes
students will take in the third year. Make sure to understand each concept
clearly.

Texts

Paul Newbold, William Carlson and Betty Thorne, Statistics for Business and Economics, Seventh edition, Pearson Education, 2009.
Course Syllabus
Lecture Schedule
Week 
Contents 

Week 1(Feb.23) 
Topics:

Week 2(Mar. 2) 
Topics:
Readings:

Week 3(Mar.9) 
Topics:
Readings:

Week 4(Mar.16) 
Topics:
Readings:

Week 5(Mar.23) 
Topics:
Readings:

Week 6(Mar.30) 
Topics:
Readings:

Week 7(Apr. 6) 
Topics:
Readings:

Week 8(Apr.13) 
Midterm Exam I

Week 9(Apr.20) 
Topics:
Readings:

Week 10(Apr.27) 
Topics:
Readings:

Week 11(May 4) 
Topics:
Readings:

Week 12(May 11) 
Topics:
Readings:

Midterm Exam II  
Week 13(May 18) 
Topics:
Readings:

Week 14(May 25) 
Topics:
Readings:

Final Exam(TBA) 
Final Exam

Exams
 1st Midterm exam: 8th week
 2nd Midterm exam: 12th week
 Final exam date: to be announced
Grading Policy
1nd Midterm Exam  
2nd Midterm Exam  
Final Exam 