Course Language:
İngilizce
Course Objectives:
The objective of the course is to help students gain knowledge about statistics including data collection and describing data using graphs and numerical mesures for making decisions in business life.
Course Content:
Data collection tools, data types, graphs, numerical measures, probability and probability distributions, discrete and continuous probability distributions, sampling distributions, SPSS demonstrations.
Course Methodology:
1: Lecture, 2: Question-Answer
Course Evaluation Methods:
A: Testing
Vertical Tabs
Course Learning Outcomes
| Learning Outcomes | Program Learning Outcomes | Teaching Methods | Assessment Methods |
| The student learns about data collection tools and data types. | 1 | 1,2 | A |
| The student learns how to use graphs and numerical measures to learn about the data. | 8,9 | 1,2 | A |
| The student learns techniques for decision making. | 2 | 1,2 | A |
| The student learns how to evaluate data and make informed business decisions. | 8,9 | 1,2 | A |
| The student develops statistical thinking to assess the credibility and value of inferences made from data. | 8,9 | 1,2 | A |
| The student gets some experience in using the statistics software package called SPSS. | 8,9 | 1,2 | - |
Course Flow
| Week | Topics | Study Materials |
| 1 | THE WHERE, WHY AND HOW OF DATA COLLECTION | |
| 2 | GRAPHS, CHARTS, AND TABLES – DESCRIBING DATA | |
| 3 | DESCRIBING DATA USING NUMERICAL MEASURES | |
| 4 | DESCRIBING DATA USING NUMERICAL MEASURES | |
| 5 | USING PROBABILITY AND PROBABILITY DISTRIBUTIONS | |
| 6 | USING PROBABILITY AND PROBABILITY DISTRIBUTIONS | |
| 7 | MIDTERM EXAM | |
| 8 | DISCRETE PROBABILITY DISTRIBUTIONS | |
| 9 | DISCRETE PROBABILITY DISTRIBUTIONS | |
| 10 | CONTINUOUS PROBABILITY DISTRIBUTIONS | |
| 11 | CONTINUOUS PROBABILITY DISTRIBUTIONS | |
| 12 | INTRODUCTION TO SAMPLING DISTRIBUTIONS | |
| 13 | INTRODUCTION TO SAMPLING DISTRIBUTIONS | |
| 14 | SPSS DEMONSTRATIONS | |
| 15 | SPSS DEMONSTRATIONS | |
| 16 | FINAL EXAM |
Recommended Sources
| Textbook | GROEBNER, SHANNON, FRY, AND SMITH, BUSINESS STATISTICS: A DECISION-MAKING APPROACH, 8TH EDITION, 2010, PRENTICE HALL. |
| Additional Resources | - |
Material Sharing
| Documents | Slides used during lectures |
| Exams |
Assessment
| IN-TERM STUDIES | NUMBER | PERCENTAGE |
| Mid-terms | 1 | 100 |
| Total | 100 | |
| CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE | 60 | |
| CONTRIBUTION OF IN-TERM STUDIES TO OVERALL GRADE | 40 | |
| Total | 100 |
| COURSE CATEGORY | Compulsory Courses |
Course’s Contribution to Program
| COURSE'S CONTRIBUTION TO PROGRAM | ||||||
| No | Program Learning Outcomes | Contribution | ||||
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | To understand the core principles of finance and to be able to apply them both nationally and internationally. | |||||
| 2 | To effectively use contemporary information technologies and up-to-date financial instruments. | X | ||||
| 3 | To understand the ethics rules and the social responsibility mentality adopted by professional finance organizations and apply them in the decision-making process. | |||||
| 4 | To have the necessary background to be able to work in multicultural and multilingual environments. | X | ||||
| 5 | To be informed about markets and the factors affecting them, and to be able to analyze the developments in these markets. | |||||
| 6 | To recognize management tools and models specific to multinational companies and to be able to apply them where necessary. | |||||
| 7 | To understand the structure of the global economic system and to be able to analyze how new developments will affect this structure. | |||||
| 8 | To be able to use critical thinking ability in decision making process. | X | ||||
| 9 | To be able to transfer the leadership, teamwork and communication skills acquired to the lifelong learning process. | |||||
| 10 | To be able to predict the opportunities and problems that may arise under dynamic working conditions and manage these using analytical and creative approaches. | X | ||||
ECTS
| Activities | Quantity | Duration (Hour) |
Total Workload (Hour) |
| Course Duration (Including the exam week: 16x Total course hours) | 16 | 3 | 48 |
| Hours for off-the-classroom study (Pre-study, practice) | 16 | 3 | 48 |
| Mid-terms | 1 | 12 | 12 |
| Final examination | 1 | 12 | 12 |
| Total Work Load | 120 | ||
| Total Work Load / 25 (h) | 4,8 | ||
| ECTS Credit of the Course | 5 |
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