Undergraduate
Faculty of Economic and Administrative Sciences
Business Administration
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Probability and Statistics I

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
ISL3000 3 Probability and Statistics I 2/2/0 CC Turkish 5
Course Goals
Statistics as a discipline provides a wide variety of methods to assist in data analysis and decision making. Descriptive statistics focus on the collection, summarization and characterization of set of data,Inferential statistics estimate a characteristic of a set of data.

In general, business managers need to be knowledgeable abouth statistics in order to understand how
properly present and desciribe information

Draw conclusion abouth large populations based only on information obtained from sample

Improve process

Obtain reliable forcasts
Prerequisite(s) None
Corequisite(s) None
Special Requisite(s) None
Instructor(s) Assist. Prof. Dr. Burçin Ataseven
Course Assistant(s) Arş.Gör.Elanur Türküz
Schedule Tuesday, 11:00 - 12:50, Online Friday 11:00 - 12:50, Online
Office Hour(s) Due to distance education, students need to contact their instructors via e-mail.
Teaching Methods and Techniques Lectures, computer lab, power-point presentations
Principle Sources Statistics for Business and Economics , Newbold P.,Carlson W., Thorne B., 2006

Business Statistics, Levine, Berenson,2002

Durmuş Dündar, Nazan Çağlar, İstatistik, Der Yayınevi- 2008

Statistics for Business & Economics, Paul Newbold,W.Carlson , 2002
Other Sources  Case studies and lecture notes to be given by the lecturer are among the other resources
Course Schedules
Week Contents Learning Methods
1. Week Why a Manager needs to know about statistics ,Why Data are needed? Sources of data , Types of data Lectures, computer lab., power-point presentations
2. Week Organizing numerical data, Tables and charts for numerical and categorical data, Using Microsoft Excel for Tables and Charts Lectures, computer lab., power-point presentations
3. Week The Mean , Median , Mod and other measures of central tendency Lectures, computer lab., power-point presentations
4. Week The Standart Deviation and other measures of dispersion, Using Microsoft Excel For Descriptive Statistics Lectures, computer lab., power-point presentations
5. Week Probability and its Postulates,exercises Lectures, computer lab., power-point presentations
6. Week Bayes’ Theorem , Probability distributions Lectures, computer lab., power-point presentations
7. Week Discrete Random Variables, Binomal Distribution Lectures, computer lab., power-point presentations
8. Week Poisson Distribution Lectures, computer lab., power-point presentations
9. Week Continuous Random Variables and Normal Distribution Lectures, computer lab., power-point presentations
10. Week Normal Distribution and applications Lectures, computer lab., power-point presentations
11. Week Sampling Theory Lectures, computer lab., power-point presentations
12. Week Exercises Lectures, computer lab., power-point presentations
13. Week Confidence Interval, Exercises Lectures, computer lab., power-point presentations
14. Week Exercises Lectures, computer lab., power-point presentations
15. Week Final Exam Week Examination
16. Week Final Exam Week Examination
17. Week Final Exam Week Examination
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 1 40
Quizzes 1 10
Final Exam 1 50


Program Outcomes
PO-1Demonstrates a basic level of understanding in related disciplines (such as economics, sociology, psychology, quantitative sciences, etc.) that form a foundation for business administration, and makes use of and applies them to the field of business.
PO-2Applies mathematical, scientific and social knowledge to business problems.
PO-3Demonstrates a basic level of understanding in business functions and management (such as management, production, marketing, accounting, finance, human resources, behavioural sciences, etc.) and interprets the theoretical arguments focusing on interactions between the actors and the cultures in the field.
PO-4Determines how to use acquired theoretical and practical knowledge and skills related to business in application and field analysis and applies them.
PO-5Identifies and evaluates the relations in the field of business; describes the problems and presents analytical solutions through modelling and interpreting (critical thinking).
PO-6Designs a business process in any functional stage that complies with identified objectives.
PO-7Develops effective business communication skills (written-verbal/formal-informal).
PO-8 Owns effective working skills individually or on a team in business and multidisciplinary fields.
PO-9Acts with a sense of professional and ethical responsibility.
PO-10Improves effective verbal and written communication skills in Turkish, and acquires competence in minimum one foreign language.
Learning Outcomes
LO-1Gain application skills of solving business problems
LO-2Research, practice and determine how to use the field analysis on theoretical and practical knowledge and skills gained in the field of business administration
LO-3Use of statistical tools in making forward-looking estimates
LO-4Able to obtain a good statistical knowledge of technical analysis
LO-5Being an accoutred systems analyst
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10
LO 1
LO 2
LO 3
LO 4
LO 5