| Teaching Staff
|
Dr. Yusuf KASAP |
| Language of Instruction |
Türkçe (Turkish) |
| Type Of Course |
Compulsory |
| Prerequisites |
Mathmatics |
| Recommended Optional Programme Component |
|
| Course Objectives |
The aim of this course is to give student fundamental statistical concepts and to introduce descritive and inferential statictical methods. |
| Course Content |
Fundemental statistical definition and concepts.
Visual and numerical description of data. Fundemental probability concepts.
Discrete and continuous probability distributions. Sampling distributions.
Hypothesis testing with one sample and two samples:
Mean and ration tests. Correlation tests. Test of independency. |
| Learning Outcomes (LO) |
1. Can describe a data set visually and numerically.
2. Can observe basic probability definitions and probability distributions in daily life and can calculate probability.
3. Can put forward and test hypotheses about the mean and proportions of the population from which the data comes.
4. Can put forward and test hypotheses about the mean and proportions of the populations from which two data sets come.
5. Can put forward and test hypotheses about the independence of the populations from which two data sets come or about the relationship between them. |
| Mode of Delivery |
Face to face |
| Course Outline |
| Week |
Topics |
| 1. Week |
Introduction: Basic concepts, historical development of statistics, scope, definition and current importance |
| 2. Week |
Data collection tools, organization and presentation of data, and frequency distribution |
| 3. Week |
Charts |
| 4. Week |
Measures of central tendency |
| 5. Week |
Measures of distribution |
| 6. Week |
Skewness and kurtosis coefficients |
| 7. Week |
The concept of probability, random variable |
| 8. Week |
The expected value and coefficient of the random variable |
| 9. Week |
Bernoulli and binomial distribution |
| 10. Week |
Poisson distribution |
| 11. Week |
Normal distribution |
| 12. Week |
Stack and sample relationship |
| 13. Week |
Estimation |
| 14. Week |
Estimation and hypothesis test |
|
| Assessment |
| |
Percentage(%) |
| Mid-term (%) |
30 |
| Quizes (%) |
|
| Homeworks/Term papers (%) |
|
| Practice (%) |
20 |
| Labs (%) |
10 |
| Projects/Field Work (%) |
|
| Seminars/Workshops (%) |
|
| Final (%) |
40 |
| Other (%) |
|
| Total(%) |
100 |
|
| Course Book (s) and/or References |
Paul Newbold, William L. Carlson, Betty M. Thorn: Statistics for Business and Economics. Pearson, 2013.
Bluman, Allan, G., Elementary Statistics A Step by Step Approach, Mc Graw Hill, 2012 |
| Work Placement(s) |
|
| The Relationship between Program Qualifications (PQ) and Course Learning Outcomes (LO) |
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PO13 | PO14 | LO1 | 2 | 5 | 3 | 5 | | | | 3 | | 4 | 4 | | 4 | | LO2 | 3 | 4 | | 4 | | | | 3 | | 4 | 4 | | 4 | | LO3 | 3 | 3 | | 3 | | | | 3 | | 3 | 3 | | 3 | | LO4 | 3 | 2 | | 3 | | | | 3 | | 2 | 2 | | 2 | | LO5 | 3 | 3 | | 3 | | | | 3 | | 3 | 3 | | 3 | | | | | | | | | | | | | | | | |
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |