Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | EM206B | 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. |
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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 | | |
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Recommended or Required Reading |
Mediterranean, f., probability and statistics, 13. Printing |
Planned Learning Activities and Teaching Methods |
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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 |
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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 |
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* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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