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Description of Individual Course Units| Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | | OTİD508 | Statistical Interpretation | Elective | 1 | 2 | 6 |
| | Level of Course Unit | | Third Cycle | | Objectives of the Course | | The aim of this course is to demonstrate and interpret the technical details of parametric univariate hypothesis testing, regression and correlation analysis, as well as their practical applications on the SPSS statistical program. | | Name of Lecturer(s) | | Prof. Dr. Vecihi AKSAKAL | | Learning Outcomes | | 1 | To be able to master the basic concepts of sampling, statistical estimation, hypothesis testing, ANOVA, regression and correlation analysis. | | 2 | To be able to select and apply the most appropriate hypothesis tests among parametric univariate hypothesis tests. | | 3 | To be able to search and interpret claims about one, two and more univariate main mass parameters. | | 4 | To be able to apply and interpret univariate parametric hypothesis tests using SPSS statistical program. | | 5 | To be able to calculate and interpret simple correlation coefficients with SPSS. | | 6 | To be able to develop suitable simple and multiple regression models with SPSS and interpret the results. |
| | Mode of Delivery | | Normal Education | | Prerequisites and co-requisities | | None | | Recommended Optional Programme Components | | - | | Course Contents | | Basic Concepts, Sampling and Sampling Methods, Sampling Distributions, Parametric Hypothesis Tests, Chi-Square Tests, Univariate ANOVA Models, Regression and Correlation Analysis. | | Weekly Detailed Course Contents | |
| 1 | Sampling Theory and Basic Concepts, Sampling Error, The Purposes of Sampling Theory, Reasons Which Make Sampling Necessary and Stages of Sampling Process. | | | | 2 | General Introduction of SPSS Program with Sampling Methods and Applications of SPSS. | | | | 3 | Sampling Distributions: Sampling Distribution of Sample Mean, Sampling Distribution of Sample Rate, Sampling Distribution of Sample Variance and Central Limit Theorem/CLT and Sampling Distributions of Sample Statistics. | Statistical Estimation, Basic Concepts and SPSS Applications. | | | 4 | Hypothesis Tests: Basic Concepts, Classification of Hypothesis Tests, Criteria Used in Selection of Appropriate Hypothesis Tests, Stages of the Hypothesis Testing Process, Interpretation Errors in Hypothesis Tests (Errors Processed in Hypothesis Tests), Significance, Confidence Level and Power of the Test and Hypothesis Tests and p-Value. | | | | 5 | | SPSS Applications and Interpretation of Parametric Single and Independent Two-Sample t or z Tests. | | | 6 | | SPSS Applications and Interpretation of Parametric Dependent Two-Sample t or z Tests. | | | 7 | | One-Way ANOVA and N-Way ANOVA Models, Multiple Comparison Tests, SPSS Applications and Interpretation. | | | 8 | | Midterm exam | | | 9 | | Chi-Square Tests: Chi-Square Independence Test, Chi-Square Homogeneity Tests, Chi-Square Goodness-of-Fit Tests and Chi-Square Based Nonparametric Correlation Coefficients: The Computation and Interpretation of Phi (ø), Cramer’s V and Contingency Coefficient (c) with SPSS. | | | 10 | | Computation and Interpretation of Pearson Correlation Coefficient (r) and Spearman Correlation Coefficient (rs) with SPSS. | | | 11 | Regression Analysis: Basic Concepts and Technical Details, Objectives and Assumptions of Regression Analysis. | | | | 12 | Deviations from the Assumptions and Solutions, Pitfalls and Limitations Associated with Regression Analysis. | | | | 13 | Analyzing and Interpretation of Cross-Sectional Data with Regression Analysis. | | | | 14 | Analyzing and Interpretation of Time Series with Regression Analysis. | | | | 15 | | Sample Problem Solving. | | | 16 | | Final examination | |
| | Recommended or Required Reading | | M.R.Spiegel and L.J. Stephens, “Statistics”, Nobel Publishing House (First 5 Chapters)
Prof. dr. Fikri Akdeniz, “Probability and Statistics”, Baki Bookstore
Prof. dr. Merih İpek, “Descriptive Statistics”, Beta Publishing House | | Planned Learning Activities and Teaching Methods | | | Assessment Methods and Criteria | |
| Midterm Examination | 1 | 40 | | Report Preparation | 1 | 20 | | Report Presentation | 1 | 20 | | Homework | 1 | 20 | | SUM | 100 | |
| Final Examination | 1 | 100 | | SUM | 100 | | Term (or Year) Learning Activities | 30 | | End Of Term (or Year) Learning Activities | 70 | | SUM | 100 |
| | Language of Instruction | | | Work Placement(s) | | - |
| | Workload Calculation | |
| Midterm Examination | 1 | 35 | 35 | | Final Examination | 1 | 40 | 40 | | Report Preparation | 1 | 30 | 30 | | Report Presentation | 1 | 30 | 30 | | Homework | 1 | 30 | 30 | |
| Contribution of Learning Outcomes to Programme Outcomes | | LO1 | 5 | | | | | | | 5 | | | | 4 | | | | 5 | | | | | | 4 | | | | LO2 | 5 | | | | | | | 4 | | | | 5 | | | | 5 | | | | | | 4 | | | | LO3 | 5 | | | | | | | 5 | | | | 4 | | | | 5 | | | | | | 4 | | | | LO4 | 4 | | | | | | | 5 | | | | 5 | | | | 5 | | | | | | 5 | | | | LO5 | 4 | | | | | | | 5 | | | | 4 | | | | 5 | | | | | | 4 | | | | LO6 | 5 | | | | | | | 5 | | | | 4 | | | | 5 | | | | | | 4 | | |
| | * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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