Course Detail
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| STATISTICS I | ILM2152740 | Fall Semester | 3+0 | 3 | 5 |
| Course Program | Salı 12:45-13:30 Salı 13:30-14:15 Salı 14:30-15:15 Cumartesi 12:45-13:30 Cumartesi 13:30-14:15 Cumartesi 14:30-15:15 |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | English |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Required |
| Course Coordinator | Assist.Prof. Esra BAYTÖREN |
| Name of Lecturer(s) | Assist.Prof. Esra BAYTÖREN |
| Assistant(s) | |
| Aim | The aim of this course is to provide students with skills in collecting, analyzing and presenting information. |
| Course Content | This course contains; Introduction to Statistics - Basic Concepts ,Organizing Data – Frequency Distributions and Graphs for Nominal and Ordinal Variables ,Organizing Data – Frequency Distributions and Graphs for Interval and Ratio Variables ,Measures of Central Tendency ,Measures of Variability ,Measures of Distribution Shape, Relative Location, and Detecting Outliers ,Measure of Association Between Two Variables - Covariance and Correlation ,Introduction to Probability - Basic Concepts,Discrete Probability Distributions ,Continuous Probability Distributions ,Sampling and Sampling Distributions, Selecting of a Sample, Point Estimation ,Sampling Distribution of the Sample Mean and Proportion,Confidence Intervals ,Confidence Intervals for a Population Proportion . |
| Course Learning Outcomes | Teaching Methods | Assessment Methods |
| 1. Will be able to describe the limited but crucial role of statistics in social research. | 10, 16, 6, 9 | A, E, G |
| 1.1 Knows statistical terminology | ||
| 1.2 Distinguishes between descriptive and inferential statistics | ||
| 1.3 Identifies types of data and the measurement level for each variable | ||
| 2. Will be able to explain the purpose of descriptive statistics in making data comprehensible. | 10, 16, 6, 9 | A, E, G |
| 2.1 Summarizes qualitative and quantitative data by using frequency distributions, bar charts, pie charts, histograms, frequency polygons, and ogives | ||
| 2.2 Summarizes data, using measures of central tendency, such as the mean, median, and mode | ||
| 2.3 Describes data, using measures of variation, such as the range, variance, and standard deviation | ||
| 3. Will be able to explain how to use relationship metrics to define and analyze the importance of relationships. | 10, 16, 6, 9 | A, E, G |
| 3.1 Interprets scatter diagrams | ||
| 3.2 Interprets covariance and correlation coefficient of a bivariate data set | ||
| 3.3 Explains the concepts of total, explained, and unexplained variance | ||
| 4. Will be able to remember how to use probability theory to make decisions in situations of uncertainty. | 10, 16, 6, 9 | A, E, G |
| 4.1 Calculates the probability of an event, using classical probability or empirical probability | ||
| 4.2 Calculates the probability of compound events, using the addition and multiplication rules | ||
| 4.3 Calculates the conditional probability of an event | ||
| 5. Will be able to explain how the behavior of a random variable is summarized through a probability distribution. | 10, 16, 6, 9 | A, E, G |
| 5.1 Explains the difference between a discrete random variable and a continuous random variable | ||
| 5.2 Describes the characteristics of the normal distribution | ||
| 5.3 Recognises the most common probability distributions | ||
| 6. Will be able to explain sampling procedures and sampling distributions. | 10, 16, 6, 9 | A, E, G |
| 6.1 Explains the concept of random sampling | ||
| 6.2 Describes the sampling distribution of the sample mean | ||
| 6.3 Explains Central Limit Theorem | ||
| 7. Will be able to explain the logic of estimation and the role of the sample, sampling distribution, and population. | 10, 16, 6, 9 | A, E, G |
| 7.1 Calculates confidence interval for a population mean based on z-test and t-test | ||
| 7.2 Determines the appropriate sample size when estimating a population mean |
| Teaching Methods: | 10: Discussion Method, 16: Question - Answer Technique, 6: Experiential Learning, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, E: Homework, G: Quiz |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Introduction to Statistics - Basic Concepts | |
| 2 | Organizing Data – Frequency Distributions and Graphs for Nominal and Ordinal Variables | |
| 3 | Organizing Data – Frequency Distributions and Graphs for Interval and Ratio Variables | |
| 4 | Measures of Central Tendency | |
| 5 | Measures of Variability | |
| 6 | Measures of Distribution Shape, Relative Location, and Detecting Outliers | |
| 7 | Measure of Association Between Two Variables - Covariance and Correlation | |
| 8 | Introduction to Probability - Basic Concepts | |
| 9 | Discrete Probability Distributions | |
| 10 | Continuous Probability Distributions | |
| 11 | Sampling and Sampling Distributions, Selecting of a Sample, Point Estimation | |
| 12 | Sampling Distribution of the Sample Mean and Proportion | |
| 13 | Confidence Intervals | |
| 14 | Confidence Intervals for a Population Proportion |
| Resources |
| [1] Statistics for Business and Economics, 14th edition, McClave, Benson, Sincich, Pearson, 2022 [2] Statistics for Business and Economics, 11th Edition, David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, South-Western Cengage Learning, 2011 |
| [3] İşletme İstatistiğinin Temelleri, 4.basımdan Çeviri, Çeviri Editörleri: N.Orhunbilge, M.Can, Ş.Er, Nobel Akademik Yayıncılık, 2018 [4] Lecture Notes |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Uluslararası lojistik ve tedarik zinciri yönetimi alanında teorik bilgileri tanımlar. | ||||||
| 2 | Uluslararası lojistik ve tedarik zinciri yönetimi alanında gerekli matematiksel ve istatistiki yöntemleri anlatır. | X | |||||
| 3 | Uluslararası lojistik ve tedarik zinciri yönetimi alanında gerekli en az bir bilgisayar programını kullanır. | X | |||||
| 4 | Uluslararası lojistik ve tedarik zinciri yönetimi alanında gerekli olan mesleki yabancı dil yeterliliğini gösterir. | ||||||
| 5 | Alanına dair projeler hazırlar ve takım çalışmalarını yönetir. | ||||||
| 6 | Mesleki alanda yaşam boyu öğrenmenin bilinciyle uluslararası lojistik ve tedarik zinciri yönetimi alanında gelişmeleri izleyerek kendini sürekli yenileyip edindiği bilgi ve becerileri eleştirel olarak değerlendirir. | ||||||
| 7 | Uluslararası lojistik ve tedarik zinciri yönetimi alanında teorik ve uygulamaya yönelik bilgileri kullanır. | ||||||
| 8 | En az A1 düzeyinde bir yabancı dili kullanarak güncel teknolojileri takip eder, sözlü/yazılı iletişim kurar. | X | |||||
| 9 | Örgüt/kurumsal, iş ve toplumsal etik değerlerini benimser ve kullanır. | ||||||
| 10 | Topluma hizmet duyarlılığı çerçevesinde, sosyal sorumluluk ilkelerini benimser ve gerektiğinde inisiyatif alır. | ||||||
| 11 | Disiplinler arası çalışmalar yürütebilmek için farklı disiplinlerde temel bilgileri ve verileri analiz ederek alanında kullanır. | X | |||||
| 12 | Uluslararası lojistik ve tedarik zinciri yönetimi sektörlerindeki sorunlar karşısında hem mikro hem makro çerçevede uygun öneriler sunar. | ||||||
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 | 3 | 42 | |||
| Guided Problem Solving | 0 | 0 | 0 | |||
| Resolution of Homework Problems and Submission as a Report | 10 | 5 | 50 | |||
| Term Project | 0 | 0 | 0 | |||
| Presentation of Project / Seminar | 0 | 0 | 0 | |||
| Quiz | 1 | 18 | 18 | |||
| Midterm Exam | 0 | 0 | 0 | |||
| General Exam | 1 | 40 | 40 | |||
| 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 I | ILM2152740 | Fall Semester | 3+0 | 3 | 5 |
| Course Program | Salı 12:45-13:30 Salı 13:30-14:15 Salı 14:30-15:15 Cumartesi 12:45-13:30 Cumartesi 13:30-14:15 Cumartesi 14:30-15:15 |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | English |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Required |
| Course Coordinator | Assist.Prof. Esra BAYTÖREN |
| Name of Lecturer(s) | Assist.Prof. Esra BAYTÖREN |
| Assistant(s) | |
| Aim | The aim of this course is to provide students with skills in collecting, analyzing and presenting information. |
| Course Content | This course contains; Introduction to Statistics - Basic Concepts ,Organizing Data – Frequency Distributions and Graphs for Nominal and Ordinal Variables ,Organizing Data – Frequency Distributions and Graphs for Interval and Ratio Variables ,Measures of Central Tendency ,Measures of Variability ,Measures of Distribution Shape, Relative Location, and Detecting Outliers ,Measure of Association Between Two Variables - Covariance and Correlation ,Introduction to Probability - Basic Concepts,Discrete Probability Distributions ,Continuous Probability Distributions ,Sampling and Sampling Distributions, Selecting of a Sample, Point Estimation ,Sampling Distribution of the Sample Mean and Proportion,Confidence Intervals ,Confidence Intervals for a Population Proportion . |
| Course Learning Outcomes | Teaching Methods | Assessment Methods |
| 1. Will be able to describe the limited but crucial role of statistics in social research. | 10, 16, 6, 9 | A, E, G |
| 1.1 Knows statistical terminology | ||
| 1.2 Distinguishes between descriptive and inferential statistics | ||
| 1.3 Identifies types of data and the measurement level for each variable | ||
| 2. Will be able to explain the purpose of descriptive statistics in making data comprehensible. | 10, 16, 6, 9 | A, E, G |
| 2.1 Summarizes qualitative and quantitative data by using frequency distributions, bar charts, pie charts, histograms, frequency polygons, and ogives | ||
| 2.2 Summarizes data, using measures of central tendency, such as the mean, median, and mode | ||
| 2.3 Describes data, using measures of variation, such as the range, variance, and standard deviation | ||
| 3. Will be able to explain how to use relationship metrics to define and analyze the importance of relationships. | 10, 16, 6, 9 | A, E, G |
| 3.1 Interprets scatter diagrams | ||
| 3.2 Interprets covariance and correlation coefficient of a bivariate data set | ||
| 3.3 Explains the concepts of total, explained, and unexplained variance | ||
| 4. Will be able to remember how to use probability theory to make decisions in situations of uncertainty. | 10, 16, 6, 9 | A, E, G |
| 4.1 Calculates the probability of an event, using classical probability or empirical probability | ||
| 4.2 Calculates the probability of compound events, using the addition and multiplication rules | ||
| 4.3 Calculates the conditional probability of an event | ||
| 5. Will be able to explain how the behavior of a random variable is summarized through a probability distribution. | 10, 16, 6, 9 | A, E, G |
| 5.1 Explains the difference between a discrete random variable and a continuous random variable | ||
| 5.2 Describes the characteristics of the normal distribution | ||
| 5.3 Recognises the most common probability distributions | ||
| 6. Will be able to explain sampling procedures and sampling distributions. | 10, 16, 6, 9 | A, E, G |
| 6.1 Explains the concept of random sampling | ||
| 6.2 Describes the sampling distribution of the sample mean | ||
| 6.3 Explains Central Limit Theorem | ||
| 7. Will be able to explain the logic of estimation and the role of the sample, sampling distribution, and population. | 10, 16, 6, 9 | A, E, G |
| 7.1 Calculates confidence interval for a population mean based on z-test and t-test | ||
| 7.2 Determines the appropriate sample size when estimating a population mean |
| Teaching Methods: | 10: Discussion Method, 16: Question - Answer Technique, 6: Experiential Learning, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, E: Homework, G: Quiz |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Introduction to Statistics - Basic Concepts | |
| 2 | Organizing Data – Frequency Distributions and Graphs for Nominal and Ordinal Variables | |
| 3 | Organizing Data – Frequency Distributions and Graphs for Interval and Ratio Variables | |
| 4 | Measures of Central Tendency | |
| 5 | Measures of Variability | |
| 6 | Measures of Distribution Shape, Relative Location, and Detecting Outliers | |
| 7 | Measure of Association Between Two Variables - Covariance and Correlation | |
| 8 | Introduction to Probability - Basic Concepts | |
| 9 | Discrete Probability Distributions | |
| 10 | Continuous Probability Distributions | |
| 11 | Sampling and Sampling Distributions, Selecting of a Sample, Point Estimation | |
| 12 | Sampling Distribution of the Sample Mean and Proportion | |
| 13 | Confidence Intervals | |
| 14 | Confidence Intervals for a Population Proportion |
| Resources |
| [1] Statistics for Business and Economics, 14th edition, McClave, Benson, Sincich, Pearson, 2022 [2] Statistics for Business and Economics, 11th Edition, David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, South-Western Cengage Learning, 2011 |
| [3] İşletme İstatistiğinin Temelleri, 4.basımdan Çeviri, Çeviri Editörleri: N.Orhunbilge, M.Can, Ş.Er, Nobel Akademik Yayıncılık, 2018 [4] Lecture Notes |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Uluslararası lojistik ve tedarik zinciri yönetimi alanında teorik bilgileri tanımlar. | ||||||
| 2 | Uluslararası lojistik ve tedarik zinciri yönetimi alanında gerekli matematiksel ve istatistiki yöntemleri anlatır. | X | |||||
| 3 | Uluslararası lojistik ve tedarik zinciri yönetimi alanında gerekli en az bir bilgisayar programını kullanır. | X | |||||
| 4 | Uluslararası lojistik ve tedarik zinciri yönetimi alanında gerekli olan mesleki yabancı dil yeterliliğini gösterir. | ||||||
| 5 | Alanına dair projeler hazırlar ve takım çalışmalarını yönetir. | ||||||
| 6 | Mesleki alanda yaşam boyu öğrenmenin bilinciyle uluslararası lojistik ve tedarik zinciri yönetimi alanında gelişmeleri izleyerek kendini sürekli yenileyip edindiği bilgi ve becerileri eleştirel olarak değerlendirir. | ||||||
| 7 | Uluslararası lojistik ve tedarik zinciri yönetimi alanında teorik ve uygulamaya yönelik bilgileri kullanır. | ||||||
| 8 | En az A1 düzeyinde bir yabancı dili kullanarak güncel teknolojileri takip eder, sözlü/yazılı iletişim kurar. | X | |||||
| 9 | Örgüt/kurumsal, iş ve toplumsal etik değerlerini benimser ve kullanır. | ||||||
| 10 | Topluma hizmet duyarlılığı çerçevesinde, sosyal sorumluluk ilkelerini benimser ve gerektiğinde inisiyatif alır. | ||||||
| 11 | Disiplinler arası çalışmalar yürütebilmek için farklı disiplinlerde temel bilgileri ve verileri analiz ederek alanında kullanır. | X | |||||
| 12 | Uluslararası lojistik ve tedarik zinciri yönetimi sektörlerindeki sorunlar karşısında hem mikro hem makro çerçevede uygun öneriler sunar. | ||||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 40 | |
| Rate of Final Exam to Success | 60 | |
| Total | 100 | |