BUSINESS ADMINISTRATION
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
ECO2061 Statistics Fall 3 0 3 6
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: En
Type of course: Must Course
Course Level: Bachelor
Mode of Delivery: Hybrid
Course Coordinator : Dr. Öğr. Üyesi BAHAR KÖSEOĞLU
Course Lecturer(s): Dr. Öğr. Üyesi AYSE ERTUĞRUL BAYKAN
Prof. Dr. NECİP ÇAKIR
Assoc. Prof. ÇAĞLAR YURTSEVEN
Prof. Dr. SELİM ZAİM
Course Objectives: To apply and interpret the results of a variety of statistical techniques from both descriptive and inferential statistics; to understand the fundamental concepts in statistics

Learning Outputs

The students who have succeeded in this course;
At the end of the course, you will be able to:

1. classify data read and interpret data
2. calculate and visualize descriptive statistics using Excel and interpret these summary measures
3. understand basics about probability
4. define random variables and basics about probability distribution of these random variables
5. use tools in Excel related with probability and probability distribution functions

Course Content

Introduction and Data Collection
Presenting Data in Tables And Charts (Organizing Categorical Data)
Presenting Data in Tables And Charts (Frequency Distribution)
Presenting Data in Tables And Charts (Organizing Numerical Data)
Numerical Descriptive Measures (Measures of Central Tendency)
Numerical Descriptive Measures (Measures of Variation)
Numerical Descriptive Measures (Z-Score and Shape of a Distribution)
Basic Probability (Basic Probability Concepts)
Basic Probability (Basic Probability Concepts, Simple and Joint Probabilities)
Basic Probability (Conditional Probabilities)
Discrete Probability Distributions (Basic Concepts and Expected Value)
Discrete Probability Distributions (Binomial and Poisson Distributions)
Continuous Distributions (Normal Distribution)
Continuous Distributions (Uniform Distributions and Exponential Distribuitons)

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction and Data Collection
2) USING GRAPHS TO DESCRIBE DATA
3) USING NUMERICAL MEASURES TO DESCRIBE DATA
4) USING NUMERICAL MEASURES TO DESCRIBE DATA • Measure of variation • Measure of shape Locating Extreme outliers: Z-score
5) USING NUMERICAL MEASURES TO DESCRIBE DATA (covariation)
6) USING NUMERICAL MEASURES TO DESCRIBE DATA _Excel application
7) ELEMENTS OF CHANCE: PROBABILITY METHODS
8) ELEMENTS OF CHANCE: PROBABILITY METHODS
9) ELEMENTS OF CHANCE: PROBABILITY METHODS
10) DISCRETE PROBABILITY DISTRIBUTIONS
11) DISCRETE PROBABILITY DISTRIBUTIONS
12) CONTINUOUS PROBABILITY DISTRIBUTIONS
13) CONTINUOUS PROBABILITY DISTRIBUTIONS
14) JOINT PROBABILITY DISTRIBUTIONS

Sources

Course Notes: • Statistics for Business and Economics, Paul Newbold, William L. Carlson and Betty Thorne, 9th Edition, Pearson. (NCT)
References: • Statistics for Business and Economics, Paul Newbold, William L. Carlson and Betty Thorne, 9th Edition, Pearson. (NCT)

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 0 % 0
Laboratory 0 % 0
Application 0 % 0
Field Work 0 % 0
Special Course Internship (Work Placement) 0 % 0
Quizzes 5 % 40
Homework Assignments % 0
Presentation 0 % 0
Project 0 % 0
Seminar 0 % 0
Midterms % 0
Preliminary Jury 0 % 0
Final 1 % 60
Paper Submission 0 % 0
Jury 0 % 0
Bütünleme % 0
Total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 16 3 48
Laboratory 0 0 0
Application 0 0 0
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 14 7 98
Presentations / Seminar 0 0 0
Project 0 0 0
Homework Assignments 0 0 0
Quizzes 3 1 3
Preliminary Jury 0 0 0
Midterms 0 0 0
Paper Submission 0 0 0
Jury 0 0 0
Final 1 2 2
Total Workload 151

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Being able to identify problems and ask right questions 5
2) Having problem solving skills and developing necessary analytical attitude 5
3) Comprehending theoretical arguments along with counter arguments in detail 1
4) Gaining awareness of lifelong learning and being qualified for pursuing graduate education 5
5) Applying theoretical concepts in project planning 2
6) Communicating efficiently by accepting differences and carrying out compatible teamwork
7) Increasing efficiency rate in business environment 4
8) Developing innovative and creative solutions in face of uncertainty 3
9) Researching to gather information for understanding current threats and opportunities in business 5
10) Being aware of the effects of globalization on society and business while deciding
11) Possessing digital competence and utilizing necessary technology 5
12) Communicating in at least one foreign language in academic and daily life 3
13) Possessing managing skills and competence 3
14) Deciding with the awareness of the legal and ethical consequences of business operations 3
15) Expressing opinions that are built through critical thinking process in business and academic environment 4