|
Course Name : Statistics
|
Degree: Bachelor
|
|
Code
|
Year/Semester
|
Local Credits
|
ECTS Credits
|
Course Implementation, Hours/Week
|
|
Course
|
Tutorial
|
Laboratory
|
|
EF 214
|
2/1 (fall)
|
3.5
|
7
|
3
|
1
|
0
|
|
Department
|
Department of Economics and Finance
Department of International Management and Trade
Department of Maritime Business Management
Department of International Logistics and Transportation
|
|
Instructors
|
Assist. Prof. Dr. Mehmet Güney Celbiş
|
|
Contact Information
|
e-mail: mgcelbis@pirireis.edu.tr
|
|
Office Hours
|
Tuesday 10:00-12:00
|
|
Web page
|
http://www.pirireis.edu.tr/pruonline/www/index.php
|
|
Course Type
|
Compulsory
|
Course Language
|
English
|
|
Course Prerequisites
|
EF114
|
|
Course Category by Content, %
|
Core Discipline
|
Core conomics and Finance
|
Economic Analysis
|
Humanities and Social Sciences
|
|
20
|
30
|
20
|
30
|
|
Course Description
|
Descriptive statistics, probability, discrete probability distributions, continuous probability distributions, correlation, variance, standard deviation, mean, covariance, hypothesis testing, regression.
|
|
Course Objectives
|
The course aims to handling issues in basic statistics while covering descriptive statistics, data presentation, tendency and dispersion measures, distribution types, probability, point and interval estimates. In addition students will further advance through practicing applications.
|
|
Course Learning Outcomes
|
Students who successfully pass EF 214:
- Will have internalized fundamental statistical concepts.
- Will be able to select the appropriate statistical methods depending on the type of data.
- Will be able to test for hypotheses using statistical methods.
- Will be able to consolidate interpretation of results with scientific research.
- Will be able to share findings and recommendations related to the her/his field with expert and non-expert audiences based on data.
- Will operate according to social, scientific, and ethical values when collecting data related to the field, their analysis in computerized environments, interpretation, and the presentation of results.
- Will be able to calculate and interpret descriptive statistics in computerized environments.
|
|
Instructional Methods and Techniques
|
The presentation of theory and computer applications
|
|
Tutorial Place
|
-
|
|
Co-term Condition
|
-
|
|
Textbook
|
Statistics for Business and Economics, 8th Edition, Paul Newbold, William Carlson, Betty Thorne – Pearson ISBN13: 9780132745659
|
|
Other References
|
Course notes and exercises are shared with students through the web links provided in the course syllabus.
|
|
Homework & Projects
|
Each week, students must complete computer exercises following the theoretical lecture.
|
|
Laboratory Work
|
|
|
Computer Use
|
Each week computer skills will be employed regarding relevant methods.
|
|
Other Activities
|
a quiz and midterm will take place
|
| |
|
|
|
|
|
|
|
|
|