YALOVA UNIVERSITY – DEPARTMENT OF MANAGEMENT (UOLP)
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Course Name/Code
Instructor
Telephone (internal)
E-mail
Webpage
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Statistics II / MAN208 (UOLP)
Associate.Prof.Dr. Ulaş Akküçük
212) 359-6524 (Boğaziçi University Office)
ulas.akkucuk@boun.edu.tr
http://web.boun.edu.tr/ulas.akkucuk
Aim of The Course
This course is designed to teach the basic statistical concepts and tools needed for business applications.
(i) Modeling and inference: population and sample quantities, confidence intervals, hypothesis testing and pvalues;
(ii) simple linear regression;
(iii) multiple regression and time series analysis.
Course Outcomes
Upon completion of the course, the student should understand the following
content areas:
1. Construct and interpret confidence interval estimates for the mean and the proportion.
2. Understand the basic principles of hypothesis testing, conduct one-sample and two-sample hypothesis
tests.
3. Use the chi-square test for contingency tables, and conduct various nonparametric tests.
4. Use regression analysis to predict the value of a dependent variable based on an independent variable,
understand the meaning of the regression coefficients, and conduct hypothesis tests for the significance of
the model parameters.
5. Understand the basic elements of time series data; make forecasts using various smoothing techniques.
Calculate different types of forecasts errors.
6. Utilize Excel tools where necessary to conduct the analyses.
Method
The instructor may use case studies, lectures, questions and exercises from the textbooks, Power Point
Presentations, and student experiences and responses.
Textbooks
1. Statistics for Managers Using Microsoft Excel- 6th Global Edition by David M. Levine, David Stephan,
Timothy C. Krehbiel, and Mark L. Berenson, Pearson.
2. Statistics for Business and Economics by P. Newbold, W.L. Carlson, and B. Thorne, Prentice Hall.
Yalova University, Department of Management, YALOVA – TURKEY E-mail: man@yalova.edu.tr
YALOVA UNIVERSITY – DEPARTMENT OF MANAGEMENT (UOLP)
De
Attendance Procedure
Punctuality and regular attendance in classes is expected from the students in order to complete the course
successfully. High attendance will be rewarded.
Changes in Syllabus
The course syllabus provides a general plan for the course. The professor reserves the right to make periodic
changes to the syllabus, including: assignments, case studies, time table, examinations, etc., in order to
accommodate the needs of the class as a whole and fulfill the goals of the course.
Course Schedule - Contents of the Accounting I Class
Period
Topic
Introduction and overview of the book and
Week 1
course
Week 2
Confidence Interval Estimation
Fundamentals of Hypothesis Testing: One
Week 3
Sample Tests
Week 4
One Sample Tests, continued
Week 5
Two Sample Tests
Week 6
Analysis of Variance
Week 7
Chi Square Tests and Nonparametric Tests
Week 8
MIDTERM
Week 9
Simple Linear Regression
Week 10
Introduction to Multiple Regression
Week 11
Multiple Regression and Model Building
Week 12
MM and Model Building Continued
Week 13
Time Series Forecasting
Week 14
General Review
Material
Slides, notes, book
Slides, notes, book
Slides, notes, book
Slides, notes, book
Slides, notes, book
Slides, notes, book
Slides, notes, book
Slides, notes, book
Slides, notes, book
Slides, notes, book
Slides, notes, book
Slides, notes, book
Evaluation Methods and Tools
The content of the exams will be the materials presented in class and in the textbook. A summary of the grading
procedure is as follows: Midterm: 40% -Final Exam: 40%- In class exercises %20
Academic Dishonesty:
Those who are found to be involved in any kind of incident of academic dishonesty (copying, cheating, plagiarizing,
etc.) will be punished.
Yalova University, Department of Management, YALOVA – TURKEY E-mail: man@yalova.edu.tr