| Course Type | Elective Course |
|---|
| Course Level | Master's Degree Without Thesis |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 10 |
|---|
| Name of Lecturer(s) |
- |
| Learning Outcomes |
At the end of this course, the students;
- Know the multivariate statistical methods
- Know the performance, productivity and efficiency terms
- Know the subjects of Data Envelopmnet Analysis
- Know the subjects of Malmquist Index
- Know the subjects of Stochastic Frontier Analysis
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | Basic Statistics |
|---|
| Course Description | Definitions of data, unit, variable, population and sample will be given in the course. Central tendency and dispersion measures, propability, probability distributions, confidence intervals nad hypothesis tests wiil be examined. Correlation and regresiion analysis, relations among variables, model building structural equation modelling are the other subjects of the course. The moderating and the mediating effects of variables, multivariate modelling will be examined. |
|---|
| 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 |
|
15th Week |
Review |
|
| 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
- Project
- Problem Solving
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
30 |
| Project |
1 |
30 |
| Total(%) |
|
60 |
| Contribution of In-term Studies to Overall Grade(%) |
|
60 |
| Contribution of Final Examination to Overall Grade(%) |
|
40 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
3 |
3 |
| Preparation for Quiz |
|
|
|
| Individual or group work |
14 |
6 |
84 |
| Preparation for Final exam |
1 |
60 |
60 |
| Course hours |
14 |
3 |
42 |
| Preparation for Midterm exam |
1 |
60 |
60 |
| Laboratory (including preparation) |
|
|
|
| Final exam |
1 |
3 |
3 |
| Homework |
|
|
|
| Project |
1 |
35 |
35 |
| Total Work Load | 287 |
| Total Work Load / 30 (h) | 9.56 |
| ECTS Credit of the Course | 10 |
|
| Language of Instruction | Turkish |
|---|
| Work Placement(s) | No |
|---|
