Course Detail
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| STATISTICS | BUS2153230 | Fall Semester | 3+0 | 3 | 5 |
| Course Program | Cuma 09:00-09:45 Cuma 10:00-10:45 Cuma 11:00-11:45 |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | English |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Required |
| Course Coordinator | Assist.Prof. Tuğba ASLAN KHALİFA |
| Name of Lecturer(s) | Assist.Prof. Esra BAYTÖREN |
| Assistant(s) | |
| Aim | The aim of this course is to equip students with the foundational knowledge and practical skills necessary to effectively analyze and interpret data in the context of business decision-making. |
| Course Content | This course contains; General Concepts of Statistics,Frequency Distrubutions and Graphs for Categorical Variables,Frequency Distrubutions and Graphs for Numerical Variables,Measures of Central Tendency,Measures of Variability,Chebyshev’s Theorem,Measures of Skewness and Kurtosis,Stem-and-Leaf Diagrams, Box Plots and Outlier Detection ,Measure of Association Between Two Variables: Covariance and Correlation,Introduction to Probability, Basic Concepts and Discrete Probability Distributions,Continuous Probability Distributions and Normal Distribution,Sampling Distribution of the Sample Mean and Confidence Intervals,Introduction to Regression Analysis,Examples for Regression Analysis. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| 1. Will be able to describe the limited but essential role of statistics in social research. | 10, 16, 6, 9 | A |
| 1.1 Demonstrate knowledge of statistical terminology. | ||
| 1.2 Determine data type and measurement level of each variable. | ||
| 1.3 Explain the difference between an observational study and an experimental study. | ||
| 2. Will be able to explain the purpose of descriptive statistics in making data more understandable. | 10, 16, 6, 9 | A |
| 2.1 Summarize qualitative data by using frequency distributions, bar charts, and pie charts. | ||
| 2.2 Summarize quantitative data by using frequency distributions, histograms, frequency polygons, and ogives. | ||
| 2.3 Summarize data using measures of central tendency like mean, median, and mode. | ||
| 2.4 Define data using measures of variability such as range, variance, and standard deviation. | ||
| 3. Will be able to explain how to use relationship measures to describe and analyze relationships. | 10, 16, 6, 9 | A |
| 3.1 Describe the relationship in two-variable tables using changes in conditional distribution. | ||
| 3.2 Interpret scatterplots. | ||
| 3.3 Interpret the covariance and correlation coefficient of a two-variable dataset. | ||
| 3.4 Explain the concepts of total, explained, and unexplained variance. | ||
| 4. Will be able to recall how to utilize of probability theory for decision making in uncertain situations. | 10, 16, 6, 9 | A |
| 4.1 Calculate the probability of an event. | ||
| 4.2. Calculate the probability of compound events. | ||
| 4.3. Use basic counting rules for probability calculations. | ||
| 5. Will be able to explain how the behaviour of a random variable is summarised through probability distributions. | 10, 16, 6, 9 | A |
| 5.1 Explain the difference between discrete and continuous random variables. | ||
| 5.2. Construct discrete probability distributions and computes means and standard deviations. | ||
| 5.3 Describe the characteristics of the normal distribution. | ||
| 6. Will be able to explain sampling procedures and sampling distributions | 10, 16, 6, 9 | A |
| 6.1 Explain the concept of random sampling and selects random samples. | ||
| 6.2 Describe and uses the sampling distribution of sample means. | ||
| 6.3 Define and uses the central limit theorem. | ||
| 7. Will be able to perform regression and correlation analysis. | 10, 16, 6, 9 | A |
| 7.1 Explains regression and correlation. | ||
| 7.2 Conduct regression analysis. | ||
| 7.3 Interpret correlation. |
| Teaching Methods: | 10: Discussion Method, 16: Question - Answer Technique, 6: Experiential Learning, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | General Concepts of Statistics | |
| 2 | Frequency Distrubutions and Graphs for Categorical Variables | |
| 3 | Frequency Distrubutions and Graphs for Numerical Variables | |
| 4 | Measures of Central Tendency | |
| 5 | Measures of Variability | |
| 6 | Chebyshev’s Theorem | |
| 7 | Measures of Skewness and Kurtosis | |
| 8 | Stem-and-Leaf Diagrams, Box Plots and Outlier Detection | |
| 9 | Measure of Association Between Two Variables: Covariance and Correlation | |
| 10 | Introduction to Probability, Basic Concepts and Discrete Probability Distributions | |
| 11 | Continuous Probability Distributions and Normal Distribution | |
| 12 | Sampling Distribution of the Sample Mean and Confidence Intervals | |
| 13 | Introduction to Regression Analysis | |
| 14 | Examples for Regression Analysis |
| Resources |
| Main Sources: [1] Statistics for Business and Economics, 14th edition, McClave, Benson, Sincich, Pearson, 2022. [2] Essentials Business Statistics, 5th Edition, Bruce L. Bowerman, Richard T.O’Connell, Emily S. Murphree, J. B. Orris, Mc Graw Hill Education, 2015. [3] Statistics for Business and Economics, 11th Edition, David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, South-Western Cengage Learning, 2011. |
| Other recommended sources: [4] İşletme İstatistiğinin Temelleri, 4.basımdan Çeviri, Çeviri Editörleri: N.Orhunbilge, M.Can, Ş.Er, Nobel Akademik Yayıncılık, 2018 [5] Lecture Notes |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Defines the theoretical issues in the field of business administration | X | |||||
| 2 | Describes the necessary qualitative and quantitative methods in the field of business and management. | X | |||||
| 3 | Uses at least one computer program in the field of business and management | X | |||||
| 4 | Sustains proficiency in a foreign language required for business and management. | ||||||
| 5 | Prepares managerial investment projects and work in a team. | X | |||||
| 6 | Constantly renews himself / herself by following developments in business and management with an understanding of the importance of lifelong learning through critically evaluating the knowledge and skills that s/he has got. | ||||||
| 7 | Uses theoretical and practical expertise in the field of business administration | X | |||||
| 8 | Follows up-to-date technology using a foreign language at least A1 level, holds verbal / written communication. | X | |||||
| 9 | Adopts organizational / institutional and social ethical values. | ||||||
| 10 | Within the framework of service responsiveness, adopts social responsibility principles and takes initiative when necessary. | ||||||
| 11 | Uses and analyses basic facts and data in different disciplines (economics, finance, sociology, law, business) in order to conduct interdisciplinary studies. | X | |||||
| 12 | Uses and Analyses the fundamental and advanced techniques in the field to enhance business performance, productivity, sustainability,innovation and research, efficiency and effectiveness. | X | |||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 40 | |
| Rate of Final Exam to Success | 60 | |
| Total | 100 | |
| ECTS / Workload Table | ||||||
| Activities | Number of | Duration(Hour) | Total Workload(Hour) | |||
| Course Hours | 14 | 2 | 28 | |||
| Guided Problem Solving | 14 | 2 | 28 | |||
| Resolution of Homework Problems and Submission as a Report | 5 | 1 | 5 | |||
| Term Project | 1 | 20 | 20 | |||
| Presentation of Project / Seminar | 1 | 2 | 2 | |||
| Quiz | 2 | 10 | 20 | |||
| Midterm Exam | 1 | 16 | 16 | |||
| General Exam | 1 | 31 | 31 | |||
| Performance Task, Maintenance Plan | 0 | 0 | 0 | |||
| Total Workload(Hour) | 150 | |||||
| Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(150/30) | 5 | |||||
| ECTS of the course: 30 hours of work is counted as 1 ECTS credit. | ||||||
Detail Informations of the Course
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| STATISTICS | BUS2153230 | Fall Semester | 3+0 | 3 | 5 |
| Course Program | Cuma 09:00-09:45 Cuma 10:00-10:45 Cuma 11:00-11:45 |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | English |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Required |
| Course Coordinator | Assist.Prof. Tuğba ASLAN KHALİFA |
| Name of Lecturer(s) | Assist.Prof. Esra BAYTÖREN |
| Assistant(s) | |
| Aim | The aim of this course is to equip students with the foundational knowledge and practical skills necessary to effectively analyze and interpret data in the context of business decision-making. |
| Course Content | This course contains; General Concepts of Statistics,Frequency Distrubutions and Graphs for Categorical Variables,Frequency Distrubutions and Graphs for Numerical Variables,Measures of Central Tendency,Measures of Variability,Chebyshev’s Theorem,Measures of Skewness and Kurtosis,Stem-and-Leaf Diagrams, Box Plots and Outlier Detection ,Measure of Association Between Two Variables: Covariance and Correlation,Introduction to Probability, Basic Concepts and Discrete Probability Distributions,Continuous Probability Distributions and Normal Distribution,Sampling Distribution of the Sample Mean and Confidence Intervals,Introduction to Regression Analysis,Examples for Regression Analysis. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| 1. Will be able to describe the limited but essential role of statistics in social research. | 10, 16, 6, 9 | A |
| 1.1 Demonstrate knowledge of statistical terminology. | ||
| 1.2 Determine data type and measurement level of each variable. | ||
| 1.3 Explain the difference between an observational study and an experimental study. | ||
| 2. Will be able to explain the purpose of descriptive statistics in making data more understandable. | 10, 16, 6, 9 | A |
| 2.1 Summarize qualitative data by using frequency distributions, bar charts, and pie charts. | ||
| 2.2 Summarize quantitative data by using frequency distributions, histograms, frequency polygons, and ogives. | ||
| 2.3 Summarize data using measures of central tendency like mean, median, and mode. | ||
| 2.4 Define data using measures of variability such as range, variance, and standard deviation. | ||
| 3. Will be able to explain how to use relationship measures to describe and analyze relationships. | 10, 16, 6, 9 | A |
| 3.1 Describe the relationship in two-variable tables using changes in conditional distribution. | ||
| 3.2 Interpret scatterplots. | ||
| 3.3 Interpret the covariance and correlation coefficient of a two-variable dataset. | ||
| 3.4 Explain the concepts of total, explained, and unexplained variance. | ||
| 4. Will be able to recall how to utilize of probability theory for decision making in uncertain situations. | 10, 16, 6, 9 | A |
| 4.1 Calculate the probability of an event. | ||
| 4.2. Calculate the probability of compound events. | ||
| 4.3. Use basic counting rules for probability calculations. | ||
| 5. Will be able to explain how the behaviour of a random variable is summarised through probability distributions. | 10, 16, 6, 9 | A |
| 5.1 Explain the difference between discrete and continuous random variables. | ||
| 5.2. Construct discrete probability distributions and computes means and standard deviations. | ||
| 5.3 Describe the characteristics of the normal distribution. | ||
| 6. Will be able to explain sampling procedures and sampling distributions | 10, 16, 6, 9 | A |
| 6.1 Explain the concept of random sampling and selects random samples. | ||
| 6.2 Describe and uses the sampling distribution of sample means. | ||
| 6.3 Define and uses the central limit theorem. | ||
| 7. Will be able to perform regression and correlation analysis. | 10, 16, 6, 9 | A |
| 7.1 Explains regression and correlation. | ||
| 7.2 Conduct regression analysis. | ||
| 7.3 Interpret correlation. |
| Teaching Methods: | 10: Discussion Method, 16: Question - Answer Technique, 6: Experiential Learning, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | General Concepts of Statistics | |
| 2 | Frequency Distrubutions and Graphs for Categorical Variables | |
| 3 | Frequency Distrubutions and Graphs for Numerical Variables | |
| 4 | Measures of Central Tendency | |
| 5 | Measures of Variability | |
| 6 | Chebyshev’s Theorem | |
| 7 | Measures of Skewness and Kurtosis | |
| 8 | Stem-and-Leaf Diagrams, Box Plots and Outlier Detection | |
| 9 | Measure of Association Between Two Variables: Covariance and Correlation | |
| 10 | Introduction to Probability, Basic Concepts and Discrete Probability Distributions | |
| 11 | Continuous Probability Distributions and Normal Distribution | |
| 12 | Sampling Distribution of the Sample Mean and Confidence Intervals | |
| 13 | Introduction to Regression Analysis | |
| 14 | Examples for Regression Analysis |
| Resources |
| Main Sources: [1] Statistics for Business and Economics, 14th edition, McClave, Benson, Sincich, Pearson, 2022. [2] Essentials Business Statistics, 5th Edition, Bruce L. Bowerman, Richard T.O’Connell, Emily S. Murphree, J. B. Orris, Mc Graw Hill Education, 2015. [3] Statistics for Business and Economics, 11th Edition, David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, South-Western Cengage Learning, 2011. |
| Other recommended sources: [4] İşletme İstatistiğinin Temelleri, 4.basımdan Çeviri, Çeviri Editörleri: N.Orhunbilge, M.Can, Ş.Er, Nobel Akademik Yayıncılık, 2018 [5] Lecture Notes |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Defines the theoretical issues in the field of business administration | X | |||||
| 2 | Describes the necessary qualitative and quantitative methods in the field of business and management. | X | |||||
| 3 | Uses at least one computer program in the field of business and management | X | |||||
| 4 | Sustains proficiency in a foreign language required for business and management. | ||||||
| 5 | Prepares managerial investment projects and work in a team. | X | |||||
| 6 | Constantly renews himself / herself by following developments in business and management with an understanding of the importance of lifelong learning through critically evaluating the knowledge and skills that s/he has got. | ||||||
| 7 | Uses theoretical and practical expertise in the field of business administration | X | |||||
| 8 | Follows up-to-date technology using a foreign language at least A1 level, holds verbal / written communication. | X | |||||
| 9 | Adopts organizational / institutional and social ethical values. | ||||||
| 10 | Within the framework of service responsiveness, adopts social responsibility principles and takes initiative when necessary. | ||||||
| 11 | Uses and analyses basic facts and data in different disciplines (economics, finance, sociology, law, business) in order to conduct interdisciplinary studies. | X | |||||
| 12 | Uses and Analyses the fundamental and advanced techniques in the field to enhance business performance, productivity, sustainability,innovation and research, efficiency and effectiveness. | X | |||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 40 | |
| Rate of Final Exam to Success | 60 | |
| Total | 100 | |