| Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | | AE-MT305 | Statistics | Compulsory | 3 | 5 | 2 |
|
| Level of Course Unit |
| First Cycle |
| Objectives of the Course |
| The aim of the course is to describe how to estimate meters of the population and to test the hypothesis about parameters |
| Name of Lecturer(s) |
| Doç. Dr. Mesut ÖZTÜRK |
| Learning Outcomes |
| 1 | 1. To learn the basic descriptions which are interested in statistic. | | 2 | 2. To make sense of information with tables and graphs | | 3 | 3. Calculate descriptive statistics. | | 4 | 4. Explain and interpret descriptive statistics in scientific researches. | | 5 | 5. Apply and interpret simple correlation analysis. | | 6 | 6. Apply and interpret simple variance analysis |
|
| Mode of Delivery |
| Normal Education |
| Prerequisites and co-requisities |
| None |
| Recommended Optional Programme Components |
| None |
| Course Contents |
| Sampling theory and sample selection, arrangement of data and analyzing, the central limit theory, distribution theory, variation, sampling distributions and estimation, interval estimation (for the mean of the population), interval estimation (for the variance of the population), problems and introduction to hypothesis, hypothesis test about mean of the population, hypothesis test about variance of the population, importance of the Chi-square tests, problem solutions, confidence interval for the parameters and hypothesis tests,. |
| Weekly Detailed Course Contents |
|
| 1 | Sample (Sample Selection) | | | | 2 | Data Sorting and Analysis (Frequency Distribution, Graphical Demonstration, Measures of Central Tendancy) | | | | 3 | Data Sorting and Analysis (Distribution Measures, Variation Coefficient) | | | | 4 | Sample Distribution (Some Properties of Mean and Variance) and Estimation | | | | 5 | Interval Estimation for the Difference of Means of Two Masses | | | | 6 | Interval Estimation for the Ratio of Variances of Two Masses | | | | 7 | Interval Estimation for the Binomial Parameter p | | | | 8 | Mid-Term | | | | 9 | Statistical Inference: Introduction to Hypothesis Testing | | | | 10 | Testing of Simple Hypothesis | | | | 11 | Hypothesis Testing for the Mean of a Mass with Normal Distribution and Known Variance | | | | 12 | Hypothesis Testing for the Means of Two Masses with Normal Distribution | | | | 13 | Hypothesis Testing for the Parameter p of Binomial Distribution | | | | 14 | Hypothesis Testing for the Difference of Two Binomial Parameters | | | | 15 | Significance tests with Chi-Square | | | | 16 | Final Exam | | |
|
| Recommended or Required Reading |
| Fikri AKDENİZ. Olasılık ve İstatistik. Nobel Kitabevi, ADANA (2007)
Büyüköztürk, Ş., Bökeoğlu, Ö.Ç., & Köklü, N. (2008).Sosyal Bilimler İçin İstatistik. Ankara: Pegem-A Akademi, 3. Baskı. |
| Planned Learning Activities and Teaching Methods |
|
| Assessment Methods and Criteria | |
| Midterm Examination | 1 | 100 | | 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 | 1 | 1 |
| Attending Lectures | 17 | 2 | 34 |
| Self Study | 6 | 2 | 12 |
| Individual Study for Mid term Examination | 6 | 6 | 36 |
| Individual Study for Final Examination | 6 | 6 | 36 |
|
| Contribution of Learning Outcomes to Programme Outcomes |
| LO1 | 4 | 3 | 1 | 3 | 1 | 1 | 1 | 3 | 1 | 3 | | LO2 | 4 | 4 | 1 | 3 | 2 | 1 | 1 | 3 | 1 | 3 | | LO3 | 4 | 4 | 1 | 2 | 1 | 1 | 1 | 3 | 1 | 2 | | LO4 | 3 | 2 | 1 | 1 | 1 | 3 | 1 | 3 | 2 | 2 | | LO5 | 3 | 2 | 1 | 1 | 1 | 1 | 1 | 2 | 1 | 1 | | LO6 | 2 | 1 | 1 | 1 | 1 | 1 | 1 | 2 | 1 | 1 |
|
| * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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