| Course Type | Elective Course |
|---|
| Course Level | Master's Degree With Thesis |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 10 |
|---|
| Name of Lecturer(s) |
- |
| Learning Outcomes |
At the end of this course, the students;
- Will master the basic statistical methods listed in the course content.
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | There is no recommended optional programme component for this course. |
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| Course Description | History of statistics. Way of thinking of displaying and analyzing statistical data. Methods in descriptive statistics. Using computers in statistics, presentation and usage of mostly used softwares for statistics. Basic probability, random variables, probability distributions and basic properties. Finite sample spaces and counting methods. Independent events, conditional probability. Expected value and variance, covariance and correlation. Basic discrete and continuous distributions. |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Sampling Distribution |
|
2nd Week |
Estimation of Population Mean and Population Binomial Proportion and related Tests of Hypotheses |
|
3rd Week |
Estimation of the Difference Between Two Population Means and of the Difference Between Two Population Binomial Proportions and related Tests of Hypotheses |
|
4th Week |
Estimation and Tests of Hypotheses Related to variances |
|
5th Week |
Test for Goodness of Fit and Independence |
|
6th Week |
Analysis of Variance and Design of Experiment |
|
7th Week |
Analysis of Variance and Design of Experiment |
|
8th Week |
MIDTERM |
|
9th Week |
Simple and Multiple Linear Regression Analysis and Model Building |
|
10th Week |
Simple and Multiple Linear Regression Analysis and Model Building |
|
11th Week |
Index Number; Forecasting |
|
12th Week |
Non-Parametric Statistical Methods |
|
13th Week |
Non-Parametric Statistical Methods |
|
14th Week |
Statistical Quality Control |
|
| Recommended or Required Reading | Statistics for Business and Economics, Anderson, D.R., Sweeney, D.J., and Williams, T.A., 7th Edition, International Thomson Publishing, 1998.
Applied Statistics, Neter J., Wasserman, W., Whitmore, G.A., 4th. Edition, Allan and Bacon, 1993.
|
|---|
| Planned Learning Activities and Teaching Methods |
- Lecture
- Questions/Answers
- Problem Solving
- Other
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
30 |
| Assignment |
1 |
10 |
| Project |
1 |
10 |
| Total(%) |
|
50 |
| Contribution of In-term Studies to Overall Grade(%) |
|
50 |
| Contribution of Final Examination to Overall Grade(%) |
|
50 |
| Total(%) |
|
100 |
|
| Language of Instruction | Turkish |
|---|
| Work Placement(s) | No |
|---|
