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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 | | İŞ123 | SPSS Applied Statistics | Elective | 1 | 1 | 6 |
| | Level of Course Unit | | Second Cycle | | Objectives of the Course | | The aim of this course is to show and interpret the practical applications of the parametric univariate hypothesis tests and regression and correlation analysis as well as the technical details of the SPSS statistical program. | | Name of Lecturer(s) | | Dr. Öğr. Üyesi Kübra ELMALI | | Learning Outcomes | | 1 | To be able to understand the basic concepts related to sampling, statistical estimation, hypothesis testing, ANOVA, regression and correlation analysis. | | 2 | To be able to select and apply the hypothesis tests which are most suitable for the purpose of the research among the parametric univariate hypothesis tests. | | 3 | To be able to investigate and interpret claims about single, two and more than one variable variables. | | 4 | To be able to apply and interpret univariate parametric hypothesis tests using SPSS statistics program. | | 5 | To be able to calculate and interpret simple correlation coefficients with SPSS. | | 6 |
To be able to develop simple and multiple regression models appropriate to SPSS and interpret the results. |
| | Mode of Delivery | | Normal Education | | Prerequisites and co-requisities | | none | | Recommended Optional Programme Components | | none | | Course Contents | | Basic Concepts, Sampling and Sampling Methods, Sampling Distributions, Parametric Hypothesis Tests, Chi-Square Tests, Single Variable ANOVA Models, Regression and Correlation Analysis. | | Weekly Detailed Course Contents | |
| 1 | Sampling Theory and Basic Concepts, Sampling Error, Objectives of Sampling Theory, Causes of Sampling and Stages of Sampling Process. | | | | 2 | Sampling Methods and SPSS Applications and SPSS Program General Introduction. | | | | 3 | Sampling Distributions: Sampling Distribution of Sample Average, Sampling Distribution of Sample Ratio, Sampling Distribution of Sample Variance and Central Limit Theorem / Sampling Distributions of MLT and Sample Statistics. Statistics Estimation, Basic Concepts and SPSS Applications. | | | | 4 | Hypothesis Tests: Basic Concepts, Classification of Hypothesis Tests, Criteria Used in Selection of Hypothesis Tests, Phases of Hypothesis Testing, Interpretation Errors in Hypothesis Testing (Errors in Hypothesis Testing), Significance Level, Confidence Level and Power of 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 Test, Chi-Square Conformity Test, and Non-Parametric Relationship Analysis Measures Based on Chi-Square Statistics Fi-Statistics (ø), Cramer-V Statistic and Contingency (c) Coefficients Obtaining and Interpreting with SPSS. | | | | 10 | Derivation of Spearman Correlation Coefficient (r) with Pearson Simple Linear Correlation Coefficient (r) by SPSS and Interpretation. | | | | 11 | Regression Analysis: Basic Concepts and Technical Details, Objectives and Assumptions of EKK Technique, Deviations and Solutions from These Assumptions. | | | | 12 | Analysis and Interpretation of Section Data by Regression Analysis | | | | 13 | Analysis and Interpretation of Time Series by Regression Analysis | | | | 14 | Multiple Linear Connection Problem and Stepwise Regression Analysis | | | | 15 | Sample Problem Solutions | | | | 16 | final exam | | |
| | Recommended or Required Reading | | Ali Sait Albayrak, ISL368 SPSS Uygulamalı İstatistik Analiz Ders Materyali, Recep Tayyip Erdoğan Üniversitesi, İktisadi ve İdari Bilimler Fakültesi, Rize, 2012.Mustafa Köseoğlu, Rahmi Yamak, Uygulamalı İstatistik ve Ekonometri, Celepler Matbaacılık, Trabzon, 2012.Neyran Orhunbilge, Uygulamalı Regresyon ve Korelasyon Analizi, İstanbul Üniversitesi İşletme Fakültesi Yayın No: 281, İstanbul, 2002. | | 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 | 14 | 4 | 56 | | Self Study | 14 | 4 | 56 | | Individual Study for Mid term Examination | 1 | 25 | 25 | | Individual Study for Final Examination | 1 | 30 | 30 | |
| Contribution of Learning Outcomes to Programme Outcomes | | LO1 | 3 | 3 | 3 | 3 | 2 | 2 | | LO2 | 2 | 2 | 2 | 3 | 3 | 3 | | LO3 | 3 | 3 | 3 | 4 | 4 | 4 | | LO4 | 4 | 4 | 4 | 3 | 3 | 3 | | LO5 | 3 | 3 | 3 | 2 | 2 | 2 | | LO6 | 1 | 2 | 2 | 2 | 1 | 2 |
| | * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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