Business | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code: | ISL209 | ||||
Course Name: | Statistical Analysis | ||||
Course Semester: | Fall | ||||
Course Credits: |
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Language of instruction: | TR | ||||
Course Requirement: | |||||
Does the Course Require Work Experience?: | No | ||||
Type of course: | Necessary | ||||
Course Level: |
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Mode of Delivery: | Face to face | ||||
Course Coordinator : | Ar.Gör. HAZAL YAREN YALIRSU | ||||
Course Lecturer(s): | Assist. Prof. Ayhan Parmaksız | ||||
Course Assistants: |
Course Objectives: | To teach the student basic statistical concepts and methods with examples and applications, to enable the student to understand and evaluate the literature in her field from a statistical perspective. |
Course Content: | Basic statistical concepts, Descriptive measurements, Theoretical distributions (Normal distribution), Sample distributions, Basic research methods, Basic sampling methods, Hypothesis tests, Relationship measures, Linear regression analysis. |
The students who have succeeded in this course;
1) Decide on appropriate basic statistical analyses. 2) Performs calculations and analyzes on its own. 3) Interprets statistical test results 4) Understands the statistical analyzes in the literature in his field. 5) Critiques the statistical analyzes in the literature in his field. 6) Have sufficient theoretical and practical basis for more advanced statistics courses. |
Week | Subject | Related Preparation |
1) | Basic statistical concepts: statistics, areas of use of statistics, universe, sample, statistics, parameters, data, variables, data types, etc. | |
2) | Descriptive statistics: Classification of data, mean and position measures | |
3) | Descriptive Statistics: Measures of dispersion | |
4) | Examination of relationships between variables with tables and graphs: Cross-tabulations, tables by descriptive measures (mean, standard deviation, etc.), multivariate applications of basic graphical representations, scatter plots, etc. | |
5) | Probability and Standard normal distribution | |
6) | Sample distributions and confidence intervals: Sample distribution of the mean and ratio, confidence intervals and interpretation. | |
7) | Sample distributions and confidence intervals: Sample distribution of the mean and ratio, confidence intervals, and interpretation | |
8) | Research methods. Introduction to hypothesis testing: Purpose of hypothesis testing, stages, errors, p and alpha values, power, effect size, decision-making process | |
9) | Hypothesis tests: Parametric one sample tests. Parametric independent two sample tests. | |
10) | Hypothesis tests: Parametric independent k samples tests | |
11) | Hypothesis tests: Parametric dependent two-sample tests. Parametric dependent k samples tests. | |
12) | Non-parametric hypothesis testing | |
13) | Relationship measures: Pearson correlation coefficient, Spearman correlation coefficient. | |
14) | Simple and multiple linear regression models |
Course Notes / Textbooks: | |
References: | Alpar R. Spor, Sağlık ve Eğitim Bilimlerinden Örneklerle UYGULAMALI İSTATİSTİK ve GEÇERLİK-GÜVENİRLİK. Detay Yayıncılık, Ankara, 2018. Sümbüloglu K ve Sümbüloğlu V. Biyoistatistik. Seçkin Yayıncılık, Ankara, 2010. Büyüköztürk Ş, Sosyal bilimler için veri analizi el kitabı, Pegem Yay, 2023. |
No Effect | 1 Lowest | 2 Medium | 3 Highest |
Program Outcomes | Level of Contribution |
Anlatım | |
Course | |
Homework | |
Soru cevap/ Tartışma |
Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama) | |
Homework |
Semester Requirements | Number of Activities | Level of Contribution |
Midterms | 1 | % 40 |
Final | 1 | % 60 |
total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 40 | |
PERCENTAGE OF FINAL WORK | % 60 | |
total | % 100 |
Activities | Number of Activities | Aktiviteye Hazırlık | Aktivitede Harçanan Süre | Aktivite Gereksinimi İçin Süre | Workload | ||
Course Hours | 14 | 3 | 42 | ||||
Midterms | 1 | 30 | 30 | ||||
Final | 1 | 40 | 40 | ||||
Total Workload | 112 |