Faculty of Humanities and Social Sciences · Political Science and International Relations (English) · Undergraduate
ECTS: 5 T+P+L: 3+0+0 Compulsory
Coordinator: Dr. Öğr. Üyesi Doğan ŞENGÜL
Instructors: Dr. Öğr. Üyesi Doğan ŞENGÜL
Course Objective
The aim of this course is to teach the main concepts and methods of statistics at the undergraduate level.
Course Content
The content of this course is summarizing numerical data, graphical analysis, probability theory, random variables and their probability distributions, sampling, sampling distributions, and moments of random variables. Applications will be carried out in Excel and SPSS.
Course Learning Outcomes
- To explain and apply the basic statistical concepts and processes such as random variables and their distributions, sampling and sampling distribution and central limit theorem.
- To analyze and interpret the types of data used in social sciences by the means of numerical summary measures and various charts/graphs
Teaching Methods
ExpressionQuestion-AnswerDiscussionExercise and PracticeExperiment - Test / Lab/ Workshop / Field PracticeProblem Solving
Assessment & Evaluation
Testing (Essay / Tests: True-Falls, multiple-choice, short answer, matching)
ECTS / Workload
| Activity | Quantity | Duration (h) | Total Workload |
|---|---|---|---|
| Course Duration (Including Exam Week) | 16 | 3 | 48 |
| Out of Class Study Period | 16 | 2 | 32 |
| Midterm | 1 | 20 | 20 |
| Quiz | 4 | 5 | 20 |
| Assignment | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Final | 1 | 30 | 30 |
Course Schedule
| Week | Subject | Preparation |
|---|---|---|
| 1 | Definition of statistics and basic concepts, The nature of statistical research, Statistical data types, Collection and compilation of data: Summarization of data Summarization of data by graphical methods | Chapter 1 |
| 2 | Statistical series | Bölüm 2 |
| 3 | Introduction to Central Tendency measures | Chapter 2 |
| 4 | Mod. Median, Quarters | Chapter 3 |
| 5 | Dispersion measures: variance standard deviation | Chapter 2 |
| 6 | Permutation, Combination, Probability | Chapter 3 |
| 7 | Probability | Chapter 3 |
| 8 | Midterm Exam | Midterm Exam |
| 9 | Discrete Probability Distributions; Bernoulli Distribution, Binomial Distribution, Geometric Distribution, Negative Distribution, Poisson Distribution | Chapter 6 |
| 10 | Continuous Probability Distributions: Normal Distribution, t distribution, Chi-Square Distribution, F Distribution | Chapter 6 |
| 11 | Applications for Continuous and Discrete Probability Distributions: | Chapter 6 |
| 12 | Central Limit Theorem, Empirical Rule, z-score, t-score | Chapter 6 |
| 13 | Confidence intervals for the population mean of normal population with known standard deviation | Chapter 6 |
| 14 | Confidence intervals for the population mean of normal distribution when the population standard deviation is unknown: | Chapter 6 |
| 15 | Hypothesis Testing: Hypothesis tests for population mean | Chapter 6 |
| 16 | Final Exam | Final Exam |