Course Detail
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| STATISTICS I | - | Fall Semester | 3+0 | 3 | 5 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | Turkish |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Required |
| Course Coordinator | Assist.Prof. Mutlu GÜRSOY |
| Name of Lecturer(s) | Assist.Prof. Mutlu GÜRSOY |
| Assistant(s) | |
| Aim | Students are aimed to understand the logic of research study and the importance of statistical analysis in a research study, and to gain an ability about gathering, summarizing and presentation of 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 . |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| 1. Will be able to describe the limited but crucial role of statistics in social research | 16, 6, 9 | A |
| 1.1 Differentiate between the two branches of statistics | ||
| 1.2 Identify types of data and the measurement level for each variable | ||
| 1.3 Explain the difference between an observational and an experimental study | ||
| 2. Will be able to explain the purpose of descriptive statistics in making data comprehensible | 16, 6, 9 | A |
| 2.1 Summarize qualitative and quantitative data by using frequency distributions, bar charts, pie charts, and histograms | ||
| 2.2 Summarize data, using measures of central tendency, such as the mean, median, and mode | ||
| 2.3 Describe data, using measures of variation, such as the range, variance, and standard deviation | ||
| 3. Will be able to explain how we can use measures of association to describe and analyze the importance of relationships | 16, 6, 9 | A |
| 3.1 Define association in the context of bivariate tables and in terms of changing conditional distributions | ||
| 3.2 Interpret a scattergram | ||
| 3.3 Interpret covariance and correlation coefficient of a bivariate data set | ||
| 4. Will be able to recall know how to make use of probability theory to help make decisions in situations of uncertainty | 16, 6, 9 | A |
| 4.1 Calculate the probability of an event using classical probability or empirical probability | ||
| 4.2 Find the probability of compound events, using the addition and multiplication rules | ||
| 4.3 Find the conditional probability of an event | ||
| 5. Will be able to tell how the behaviour of a random variable can often be summarised by a probability distribution | 16, 6, 9 | A |
| 5.1 Explain the difference between a discrete random variable and a continuous random variable | ||
| 5.2 Express areas under the curve in terms of probabilities | ||
| 5.3 Recognise the most common probability distributions and be aware of their uses | ||
| 6. Will be able to explain sampling procedures and sampling distributions | 16, 6, 9 | A |
| 6.1 Explain the concept of random sampling | ||
| 6.2 Use the sampling distribution of the sample mean | ||
| 6.3 Explain the Central Limit Theorem | ||
| 7. Will be able to explain the logic of estimation and the role of the sample, sampling distribution, and population | 16, 6, 9 | A |
| 7.1 Calculate a z-based confidence interval for a population mean | ||
| 7.2 Use the t table | ||
| 7.3 Calculate a t-based confidence interval for a population mean |
| Teaching Methods: | 16: Question - Answer Technique, 6: Experiential Learning, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Introduction to Statistics - Basic Concepts | The relevant section will be read from the book. |
| 2 | Organizing Data – Frequency Distributions and Graphs for Nominal and Ordinal Variables | The relevant section will be read from the book. |
| 3 | Organizing Data – Frequency Distributions and Graphs for Interval and Ratio Variables | The relevant section will be read from the book. |
| 4 | Measures of Central Tendency | The relevant section will be read from the book. |
| 5 | Measures of Variability | The relevant section will be read from the book. |
| 6 | Measures of Distribution Shape, Relative Location, and Detecting Outliers | The relevant section will be read from the book. |
| 7 | Measure of Association Between Two Variables - Covariance and Correlation | The relevant section will be read from the book. |
| 8 | Introduction to Probability - Basic Concepts | The relevant section will be read from the book. |
| 9 | Discrete Probability Distributions | The relevant section will be read from the book. |
| 10 | Continuous Probability Distributions | The relevant section will be read from the book. |
| 11 | Sampling and Sampling Distributions, Selecting of a Sample, Point Estimation | The relevant section will be read from the book. |
| 12 | Sampling Distribution of the Sample Mean and Proportion | The relevant section will be read from the book. |
| 13 | Confidence Intervals | The relevant section will be read from the book. |
| 14 | Confidence Intervals for a Population Proportion | The relevant section will be read from the book. |
| Resources |
| [1] will be available at http://mebis.medipol.edu.tr. |
| [2] Bruce L. Bowerman, Richard T. O'Connell, Emily S. Murphree, James B. Orris (2013), İşletme İstatistiğinin Temelleri, 4.basımdan Çeviri, Çeviri Editörleri: N.Orhunbilge, M.Can, Ş.Er, Nobel Akademik Yayıncılık [3] David R. Anderson, Dennis J. Sweeney, Thomas A. Williams (2011), Statistics for Business and Economics, Eleventh Edition, South-Western Cengage Learning |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Defines the basic concepts of banking and insurance. | ||||||
| 2 | Describes the mathematical and statistical methods of banking and insurance | X | |||||
| 3 | Uses the computer programs needed in banking and insurance | X | |||||
| 4 | Uses the professional foreign language proficiency required in banking and insurance | ||||||
| 5 | Prepares the project and manage the teamworks | ||||||
| 6 | Uses the theoretical and practical knowledge of the banking and insurance. | X | |||||
| 7 | Constantly evaluates itself by following the developments in science and technology with the importance of lifelong learning | ||||||
| 8 | Uses verbal and written communication skills using the latest technologies and at least one foreign language | ||||||
| 9 | Accepts ethical values and social rights and applies them | ||||||
| 10 | Analyzes and discusses using the data of banking and insurance | X | |||||
| 11 | Uses the information on the other disciplines that can provide support for theoretical studies in banking and insurance (economics, law, business, etc.) | ||||||
| 12 | Offers micro and macro suggestions on the problems in the banking and insurance sector | ||||||
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 I | - | Fall Semester | 3+0 | 3 | 5 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | Turkish |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Required |
| Course Coordinator | Assist.Prof. Mutlu GÜRSOY |
| Name of Lecturer(s) | Assist.Prof. Mutlu GÜRSOY |
| Assistant(s) | |
| Aim | Students are aimed to understand the logic of research study and the importance of statistical analysis in a research study, and to gain an ability about gathering, summarizing and presentation of 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 . |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| 1. Will be able to describe the limited but crucial role of statistics in social research | 16, 6, 9 | A |
| 1.1 Differentiate between the two branches of statistics | ||
| 1.2 Identify types of data and the measurement level for each variable | ||
| 1.3 Explain the difference between an observational and an experimental study | ||
| 2. Will be able to explain the purpose of descriptive statistics in making data comprehensible | 16, 6, 9 | A |
| 2.1 Summarize qualitative and quantitative data by using frequency distributions, bar charts, pie charts, and histograms | ||
| 2.2 Summarize data, using measures of central tendency, such as the mean, median, and mode | ||
| 2.3 Describe data, using measures of variation, such as the range, variance, and standard deviation | ||
| 3. Will be able to explain how we can use measures of association to describe and analyze the importance of relationships | 16, 6, 9 | A |
| 3.1 Define association in the context of bivariate tables and in terms of changing conditional distributions | ||
| 3.2 Interpret a scattergram | ||
| 3.3 Interpret covariance and correlation coefficient of a bivariate data set | ||
| 4. Will be able to recall know how to make use of probability theory to help make decisions in situations of uncertainty | 16, 6, 9 | A |
| 4.1 Calculate the probability of an event using classical probability or empirical probability | ||
| 4.2 Find the probability of compound events, using the addition and multiplication rules | ||
| 4.3 Find the conditional probability of an event | ||
| 5. Will be able to tell how the behaviour of a random variable can often be summarised by a probability distribution | 16, 6, 9 | A |
| 5.1 Explain the difference between a discrete random variable and a continuous random variable | ||
| 5.2 Express areas under the curve in terms of probabilities | ||
| 5.3 Recognise the most common probability distributions and be aware of their uses | ||
| 6. Will be able to explain sampling procedures and sampling distributions | 16, 6, 9 | A |
| 6.1 Explain the concept of random sampling | ||
| 6.2 Use the sampling distribution of the sample mean | ||
| 6.3 Explain the Central Limit Theorem | ||
| 7. Will be able to explain the logic of estimation and the role of the sample, sampling distribution, and population | 16, 6, 9 | A |
| 7.1 Calculate a z-based confidence interval for a population mean | ||
| 7.2 Use the t table | ||
| 7.3 Calculate a t-based confidence interval for a population mean |
| Teaching Methods: | 16: Question - Answer Technique, 6: Experiential Learning, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Introduction to Statistics - Basic Concepts | The relevant section will be read from the book. |
| 2 | Organizing Data – Frequency Distributions and Graphs for Nominal and Ordinal Variables | The relevant section will be read from the book. |
| 3 | Organizing Data – Frequency Distributions and Graphs for Interval and Ratio Variables | The relevant section will be read from the book. |
| 4 | Measures of Central Tendency | The relevant section will be read from the book. |
| 5 | Measures of Variability | The relevant section will be read from the book. |
| 6 | Measures of Distribution Shape, Relative Location, and Detecting Outliers | The relevant section will be read from the book. |
| 7 | Measure of Association Between Two Variables - Covariance and Correlation | The relevant section will be read from the book. |
| 8 | Introduction to Probability - Basic Concepts | The relevant section will be read from the book. |
| 9 | Discrete Probability Distributions | The relevant section will be read from the book. |
| 10 | Continuous Probability Distributions | The relevant section will be read from the book. |
| 11 | Sampling and Sampling Distributions, Selecting of a Sample, Point Estimation | The relevant section will be read from the book. |
| 12 | Sampling Distribution of the Sample Mean and Proportion | The relevant section will be read from the book. |
| 13 | Confidence Intervals | The relevant section will be read from the book. |
| 14 | Confidence Intervals for a Population Proportion | The relevant section will be read from the book. |
| Resources |
| [1] will be available at http://mebis.medipol.edu.tr. |
| [2] Bruce L. Bowerman, Richard T. O'Connell, Emily S. Murphree, James B. Orris (2013), İşletme İstatistiğinin Temelleri, 4.basımdan Çeviri, Çeviri Editörleri: N.Orhunbilge, M.Can, Ş.Er, Nobel Akademik Yayıncılık [3] David R. Anderson, Dennis J. Sweeney, Thomas A. Williams (2011), Statistics for Business and Economics, Eleventh Edition, South-Western Cengage Learning |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Defines the basic concepts of banking and insurance. | ||||||
| 2 | Describes the mathematical and statistical methods of banking and insurance | X | |||||
| 3 | Uses the computer programs needed in banking and insurance | X | |||||
| 4 | Uses the professional foreign language proficiency required in banking and insurance | ||||||
| 5 | Prepares the project and manage the teamworks | ||||||
| 6 | Uses the theoretical and practical knowledge of the banking and insurance. | X | |||||
| 7 | Constantly evaluates itself by following the developments in science and technology with the importance of lifelong learning | ||||||
| 8 | Uses verbal and written communication skills using the latest technologies and at least one foreign language | ||||||
| 9 | Accepts ethical values and social rights and applies them | ||||||
| 10 | Analyzes and discusses using the data of banking and insurance | X | |||||
| 11 | Uses the information on the other disciplines that can provide support for theoretical studies in banking and insurance (economics, law, business, etc.) | ||||||
| 12 | Offers micro and macro suggestions on the problems in the banking and insurance sector | ||||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 40 | |
| Rate of Final Exam to Success | 60 | |
| Total | 100 | |