| Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | | EM204 | Statistics II | Compulsory | 2 | 4 | 6 |
|
| Level of Course Unit |
| First Cycle |
| Objectives of the Course |
| Event shall the and basic introduction to probability statistical sampling methods |
| Name of Lecturer(s) |
| Doç. Dr. Hamid YILMAZ |
| Learning Outcomes |
| 1 | Average, variance sample variance of the main mass of the sample, you can use the concepts and Center Limit Teoremini. | | 2 | One of the main parameters of a probability distribution of mass or of the general concepts about the estimate. | | 3 | Using the appropriate methods of parameters of a broken main Normal mass (average, variance) to calculate the confidence interval, we can interpret it. | | 4 | Calculates a confidence interval for the proportion of the main mass,. | | 5 | Engineering decision making problems, tests of hypotheses can be configured. | | 6 | Using the appropriate test procedures and a main audience is normally distributed with parameters (mean, variance) can test their hypothesis about. | | 7 | A host can test their hypothesis related to mass ratio. | | 8 | Comparative experiments that contains two sample hypothesis testing, using appropriate test procedures to configure and, as is normally distributed with two main audience can test their hypothesis about averages. | | 9 | Using the appropriate test procedures and are scattered throughout the normal rate of two main audience can test their hypothesis about variances. | | 10 | The ratio of two main mass difference, you can test the hypothesis about. |
|
| Mode of Delivery |
| Normal Education |
| Prerequisites and co-requisities |
| None |
| Recommended Optional Programme Components |
| None |
| Course Contents |
| Statistical distributions, point and interval estimates, one sample hypothesis testing, double sampling tests of hypotheses |
| Weekly Detailed Course Contents |
|
| 1 | Sampling Distributions and Estimating-I
| | | | 2 | Sampling Distributions and Estimating-II
| | | | 3 | Sampling Distributions and Estimating-III
| | | | 4 | Sampling Distributions, and to predict-IV
| | | | 5 | Estimating the sampling Distributions and-V
| | | | 6 | Hypothesis Testing: Single Sample-I
| | | | 7 | Hypothesis Testing: Single Sample-II
| | | | 8 | Midterm exam | | | | 9 | Hypothesis Testing: Two Sample-I
| | | | 10 | Hypothesis Testing: Two Sample-II
| | | | 11 | Analysis Of Variance
| | | | 12 | Regression and correlation analysis of least squares method
| | | | 13 | Simple linear and curvilinear regression models
| | | | 14 | Multiple Regression Models
| | | | 15 | Multiple Regression Models | | |
|
| Recommended or Required Reading |
| Mediterranean, f., probability and statistics, 13. Printing |
| Planned Learning Activities and Teaching Methods |
|
| Assessment Methods and Criteria | |
| Midterm Examination | 1 | 75 | | Homework | 1 | 25 | | SUM | 100 | |
| Final Examination | 1 | 100 | | SUM | 100 | | Term (or Year) Learning Activities | 40 | | End Of Term (or Year) Learning Activities | 60 | | SUM | 100 |
| | Language of Instruction | | Turkish | | Work Placement(s) | | None |
|
| Workload Calculation |
|
| Midterm Examination | 1 | 1 | 1 |
| Final Examination | 1 | 2 | 2 |
| Attending Lectures | 14 | 4 | 56 |
| Self Study | 14 | 4 | 56 |
| Individual Study for Mid term Examination | 1 | 20 | 20 |
| Individual Study for Final Examination | 1 | 16 | 16 |
| Report | 1 | 5 | 5 |
| Homework | 1 | 10 | 10 |
|
| Contribution of Learning Outcomes to Programme Outcomes |
| LO1 | 3 | 2 | 3 | 3 | 2 | 3 | 3 | 2 | | LO2 | 3 | 3 | 3 | 2 | 3 | 3 | 2 | 1 | | LO3 | 3 | 3 | 3 | 2 | 3 | 2 | 3 | 2 | | LO4 | 3 | 3 | 3 | 3 | 2 | 3 | 2 | 2 | | LO5 | 3 | 3 | 3 | 3 | 2 | 2 | 3 | 1 | | LO6 | 3 | 3 | 2 | 3 | 2 | 3 | 2 | 3 | | LO7 | 3 | 3 | 4 | 3 | 2 | 3 | 2 | 2 | | LO8 | 3 | 2 | 3 | 4 | 3 | 3 | 2 | 2 | | LO9 | 3 | 3 | 3 | 3 | 4 | 3 | 2 | 1 | | LO10 | 3 | 2 | 4 | 3 | 4 | 3 | 2 | 2 |
|
| * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
 |
| |