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| EKO2000 | Statistics | 3+0+0 | ECTS:4 | | Year / Semester | Fall Semester | | Level of Course | First Cycle | | Status | Compulsory | | Department | DEPARTMENT of LABOR ECONOMICS and INDUSTRIAL RELATIONS | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | Prof. Dr. Mustafa KÖSEOĞLU | | Co-Lecturer | Prof. Dr. Mustafa KÖSEOĞLU | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | The aim of this course is to present descriptive statistical knovledge and some statistical ınference methods. |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | calculate and interpret some basic descriptive statistics. | 1,2,3,4 | 1, | | LO - 2 : | discriminate between real and nominal variables | 1,2,3,4 | 1, | | LO - 3 : | learn basic probability rules and apply them to decision making problems | 1,2,3,4 | 1, | | LO - 4 : | recognize some probability distributions and use them in order to solve business problems | 1,2,3,4 | 1, | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome | | |
| Basic Concepts, Statistical Presentations, Location and Variability Measures, Probability, Random Variables, Expected Value and Variance, Distributions of random Variables, Sampling, Point and Interval Estimation, Hypothesis Tests, Simple Linear Regression, Multiple Regression. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Basic Concepts: Scales, discrete and continuous variables, complete count and population parameters, random sampling and sample statistics | | | Week 2 | Data Presentations: Frequency distributions, histogram and frequency polygons, frequency curves, cumulative and relative distributions, the "and-under" type of frequency distributions | | | Week 3 | Measures of Location: Arithmetic mean, median, mode, quartiles, deciles and percentiles | | | Week 4 | Measures of Variability: The range, the variance and standard deviation, the coefficient of variation, coefficient of skewness | | | Week 5 | Basic Concepts on Probability: Axioms of probability, some important rules on probability, conditional probability, rules of multiplications, independent events, rules of addition | | | Week 6 | Random Variables: Probability function, distribution functions, expected value and variance, skewness and kurtosis | | | Week 7 | Distribution of Random Variables: Bernoulli and Binomial distributions, Normal distributions | | | Week 8 | Mid-term exam | | | Week 9 | Sampling: Population and sample, random sampling, sampling distribution, central limit theorem | | | Week 10 | Point and Interval Estimation: Point estimation, confidence interval for mean and proportion, the student t-distribution, required sample size for estimating mean and proportion | | | Week 11 | Hypothesis Testing: Type I and type II errors, hypothesis testing for mean and proportion | | | Week 12 | Hypothesis Testing: Chi-square distribution and goodness of fit tests | | | Week 13 | Analysis of Variance: One-way analysis of variance | | | Week 14 | Regression and Correlation Analysis: The simple linear regression and corrlation anaysis | | | Week 15 | Marrix approach to simple linear regression analysis | | | Week 16 | End-of-term exam | | | |
| 1 | Newbold, P. (Çev. Şenesen, Ü.) 2000; İşletme ve İktisat İçin İstatistik, Literatür Yayıncılık, İstanbul | | | |
| 1 | Türedi, N. 2008; Uygulamalı Temel İstatistik Yöntemler, Celepler Matbaası, Trabzon | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 11/2021 | 1 | 50 | | End-of-term exam | 16 | 01/2021 | 1 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 3 | 14 | 42 | | Sınıf dışı çalışma | 4 | 14 | 56 | | Arasınav için hazırlık | 7 | 1 | 7 | | Arasınav | 1 | 1 | 1 | | Dönem sonu sınavı için hazırlık | 13 | 1 | 13 | | Dönem sonu sınavı | 1 | 1 | 1 | | Total work load | | | 120 |
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