Course Detail
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| STATISTICS | - | 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. Tuğba ASLAN KHALİFA |
| Name of Lecturer(s) | Assist.Prof. Recep ÖZSÜRÜNÇ |
| Assistant(s) | |
| Aim | Giving basic information about Statistics methodology, providing students the ability to analyze and present the available data by using statistical methods. |
| Course Content | This course contains; The meaning and importance of Statistics – The process of Statistics – Statistics in Management,Data collection and organization,Summarizing data: Series and graphs,Descriptive Statistical Analysis: Measures of Central Tendency: Means – Analytical Means,Means (cont’d.): Non-analytical Means /Variation – Measures of Variation,Measures of variation (cont’d.): / Skewness –Measures of skewness,Introduction to inferential statistics: Sampling and sampling techniques / The concept of sampling distribution,Probability distributions: The normal distribution and the standard normal distribution,The Place and Applications of Normal Distribution in Business Management,Simple random sampling: Estimation of the population parameters – Point and interval estimations – Estimation of the population mean,Estimation of the population mean (cont’d.) : Inferences basing on small samples – The Student (t) distribution,Estimation of the population proportion,Estimation of the population proportion (cont’d.) / Determining the sample size,Final review – Statistical software practical. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| 1. Will be able to describe the limited but crucial role of statistics in social research | 12, 16, 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 | 12, 16, 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 recall know how to make use of probability theory to help make decisions in situations of uncertainty | 12, 16, 9 | A |
| 3.1 Find the probability of compound events, using the addition and multiplication rules | ||
| 3.2 Find the conditional probability of an event | ||
| 4. Will be able to tell how the behaviour of a random variable can often be summarised by a probability distribution | 12, 16, 9 | A |
| 4.1 Explain the difference between a discrete random variable and a continuous random variable | ||
| 4.2 Recognise the most common probability distributions and be aware of their uses | ||
| 5. Will be able to explain sampling procedures and sampling distributions | 12, 16, 9 | A |
| 5.1 Explain the concept of random sampling | ||
| 5.2 Use the sampling distribution of the sample mean | ||
| 6. Will be able to explain the logic of estimation and the role of the sample, sampling distribution, and population | 12, 16, 9 | A |
| 6.1 Calculate a z-based confidence interval for a population mean | ||
| 6.2 Calculate a t-based confidence interval for a population mean |
| Teaching Methods: | 12: Problem Solving Method, 16: Question - Answer Technique, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | The meaning and importance of Statistics – The process of Statistics – Statistics in Management | |
| 2 | Data collection and organization | |
| 3 | Summarizing data: Series and graphs | |
| 4 | Descriptive Statistical Analysis: Measures of Central Tendency: Means – Analytical Means | |
| 5 | Means (cont’d.): Non-analytical Means /Variation – Measures of Variation | |
| 6 | Measures of variation (cont’d.): / Skewness –Measures of skewness | |
| 7 | Introduction to inferential statistics: Sampling and sampling techniques / The concept of sampling distribution | |
| 8 | Probability distributions: The normal distribution and the standard normal distribution | |
| 9 | The Place and Applications of Normal Distribution in Business Management | |
| 10 | Simple random sampling: Estimation of the population parameters – Point and interval estimations – Estimation of the population mean | |
| 11 | Estimation of the population mean (cont’d.) : Inferences basing on small samples – The Student (t) distribution | |
| 12 | Estimation of the population proportion | |
| 13 | Estimation of the population proportion (cont’d.) / Determining the sample size | |
| 14 | Final review – Statistical software practical |
| Resources |
| Resources: [1] Demir, İ. (2020). SPSS ile İstatistik Rehberi. Istanbul: Efe Akademi. |
| Other recommended sources: [1] Ş. Büyüköztürk,Ö. Bökeoğlu,N. Köklü; SOSYAL BİLİMLER İÇİN İSTATİSTİK, Pegem Akademi Yayıncılık, 2011. [2] PowerPoint slides, 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 HRM. | ||||||
| 2 | Describes the necessary quantitative and statistical methods in the field of HRM. | X | |||||
| 3 | Uses at least one computer program in the field of HRM. | ||||||
| 4 | Sustains proficiency in a foreign language required in HRM. | ||||||
| 5 | Prepares HR projects and leads teams. | ||||||
| 6 | Constantly updates himself / herself by following developments in science and technology with an understanding of the importance of lifelong learning through critically evaluating the knowledge and skills that s/he has got. | X | |||||
| 7 | Uses theoretical and practical expertise in the field of HRM. | X | |||||
| 8 | Follows up-to-date technology using a foreign language at least A1 level, holds verbal / written communication skills. | ||||||
| 9 | Adopts organizational / institutional and social ethical values. | ||||||
| 10 | Within the framework of community involvement, adopts social responsibility principles and takes initiative when necessary. | ||||||
| 11 | Uses and analyses basic facts and data in various disciplines (economics, finance, sociology, law, business) in order to conduct interdisciplinary studies. | X | |||||
| 12 | Have the necessary skills to ascertain person-job fit and person-organization fit. | ||||||
| 13 | Have enough knowledge to put forward some ideas in all business functions and have aptitude to collaborate with other departments. | 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 | 3 | 42 | |||
| Guided Problem Solving | 0 | 0 | 0 | |||
| Resolution of Homework Problems and Submission as a Report | 4 | 1 | 4 | |||
| Term Project | 0 | 0 | 0 | |||
| Presentation of Project / Seminar | 3 | 1 | 3 | |||
| Quiz | 5 | 1 | 5 | |||
| Midterm Exam | 9 | 1 | 9 | |||
| General Exam | 12 | 2 | 24 | |||
| Performance Task, Maintenance Plan | 0 | 0 | 0 | |||
| Total Workload(Hour) | 87 | |||||
| Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(87/30) | 3 | |||||
| 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 | - | 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. Tuğba ASLAN KHALİFA |
| Name of Lecturer(s) | Assist.Prof. Recep ÖZSÜRÜNÇ |
| Assistant(s) | |
| Aim | Giving basic information about Statistics methodology, providing students the ability to analyze and present the available data by using statistical methods. |
| Course Content | This course contains; The meaning and importance of Statistics – The process of Statistics – Statistics in Management,Data collection and organization,Summarizing data: Series and graphs,Descriptive Statistical Analysis: Measures of Central Tendency: Means – Analytical Means,Means (cont’d.): Non-analytical Means /Variation – Measures of Variation,Measures of variation (cont’d.): / Skewness –Measures of skewness,Introduction to inferential statistics: Sampling and sampling techniques / The concept of sampling distribution,Probability distributions: The normal distribution and the standard normal distribution,The Place and Applications of Normal Distribution in Business Management,Simple random sampling: Estimation of the population parameters – Point and interval estimations – Estimation of the population mean,Estimation of the population mean (cont’d.) : Inferences basing on small samples – The Student (t) distribution,Estimation of the population proportion,Estimation of the population proportion (cont’d.) / Determining the sample size,Final review – Statistical software practical. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| 1. Will be able to describe the limited but crucial role of statistics in social research | 12, 16, 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 | 12, 16, 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 recall know how to make use of probability theory to help make decisions in situations of uncertainty | 12, 16, 9 | A |
| 3.1 Find the probability of compound events, using the addition and multiplication rules | ||
| 3.2 Find the conditional probability of an event | ||
| 4. Will be able to tell how the behaviour of a random variable can often be summarised by a probability distribution | 12, 16, 9 | A |
| 4.1 Explain the difference between a discrete random variable and a continuous random variable | ||
| 4.2 Recognise the most common probability distributions and be aware of their uses | ||
| 5. Will be able to explain sampling procedures and sampling distributions | 12, 16, 9 | A |
| 5.1 Explain the concept of random sampling | ||
| 5.2 Use the sampling distribution of the sample mean | ||
| 6. Will be able to explain the logic of estimation and the role of the sample, sampling distribution, and population | 12, 16, 9 | A |
| 6.1 Calculate a z-based confidence interval for a population mean | ||
| 6.2 Calculate a t-based confidence interval for a population mean |
| Teaching Methods: | 12: Problem Solving Method, 16: Question - Answer Technique, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | The meaning and importance of Statistics – The process of Statistics – Statistics in Management | |
| 2 | Data collection and organization | |
| 3 | Summarizing data: Series and graphs | |
| 4 | Descriptive Statistical Analysis: Measures of Central Tendency: Means – Analytical Means | |
| 5 | Means (cont’d.): Non-analytical Means /Variation – Measures of Variation | |
| 6 | Measures of variation (cont’d.): / Skewness –Measures of skewness | |
| 7 | Introduction to inferential statistics: Sampling and sampling techniques / The concept of sampling distribution | |
| 8 | Probability distributions: The normal distribution and the standard normal distribution | |
| 9 | The Place and Applications of Normal Distribution in Business Management | |
| 10 | Simple random sampling: Estimation of the population parameters – Point and interval estimations – Estimation of the population mean | |
| 11 | Estimation of the population mean (cont’d.) : Inferences basing on small samples – The Student (t) distribution | |
| 12 | Estimation of the population proportion | |
| 13 | Estimation of the population proportion (cont’d.) / Determining the sample size | |
| 14 | Final review – Statistical software practical |
| Resources |
| Resources: [1] Demir, İ. (2020). SPSS ile İstatistik Rehberi. Istanbul: Efe Akademi. |
| Other recommended sources: [1] Ş. Büyüköztürk,Ö. Bökeoğlu,N. Köklü; SOSYAL BİLİMLER İÇİN İSTATİSTİK, Pegem Akademi Yayıncılık, 2011. [2] PowerPoint slides, 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 HRM. | ||||||
| 2 | Describes the necessary quantitative and statistical methods in the field of HRM. | X | |||||
| 3 | Uses at least one computer program in the field of HRM. | ||||||
| 4 | Sustains proficiency in a foreign language required in HRM. | ||||||
| 5 | Prepares HR projects and leads teams. | ||||||
| 6 | Constantly updates himself / herself by following developments in science and technology with an understanding of the importance of lifelong learning through critically evaluating the knowledge and skills that s/he has got. | X | |||||
| 7 | Uses theoretical and practical expertise in the field of HRM. | X | |||||
| 8 | Follows up-to-date technology using a foreign language at least A1 level, holds verbal / written communication skills. | ||||||
| 9 | Adopts organizational / institutional and social ethical values. | ||||||
| 10 | Within the framework of community involvement, adopts social responsibility principles and takes initiative when necessary. | ||||||
| 11 | Uses and analyses basic facts and data in various disciplines (economics, finance, sociology, law, business) in order to conduct interdisciplinary studies. | X | |||||
| 12 | Have the necessary skills to ascertain person-job fit and person-organization fit. | ||||||
| 13 | Have enough knowledge to put forward some ideas in all business functions and have aptitude to collaborate with other departments. | X | |||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 40 | |
| Rate of Final Exam to Success | 60 | |
| Total | 100 | |