Business
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course General Introduction Information

Course Code: ISL209
Course Name: Statistical Analysis
Course Semester: Fall
Course Credits:
ECTS
4
Language of instruction: TR
Course Requirement:
Does the Course Require Work Experience?: No
Type of course: Necessary
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Ar.Gör. HAZAL YAREN YALIRSU
Course Lecturer(s): Assist. Prof. Ayhan Parmaksız
Course Assistants:

Course Purpose and Content

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.

Learning Outcomes

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.

Course Flow Plan

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

Sources

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.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Medium 3 Highest
       
Program Outcomes Level of Contribution

Learning Activity and Teaching Methods

Anlatım
Course
Homework
Soru cevap/ Tartışma

Measurement and Evaluation Methods and Criteria

Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama)
Homework

Assessment & Grading

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

İş Yükü ve AKTS Kredisi Hesaplaması

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