>
Course Unit Title Course Unit Code Type of Course Unit Level of Course Unit Year of Study Semester ECTS Credits
Quantitative Methods II MFD132 Elective Doctorate degree 1 Spring 6

Name of Lecturer(s)

Prof. Dr. İlyas AKHİSAR
Prof. Dr. Selçuk KOÇ
Associate Prof. Dr. Feyyaz Cengiz DİKMEN
Associate Prof. Dr. Ozan GÖNÜLLÜ

Learning Outcomes of the Course Unit

1) Estimate population parameters.
2) Select the appropriate statistical method.
3) Develop a hypothesis test.
4) Solve hypothesis tests with a statistical software package.
5) Interpret the hypothesis test results.

Program Competencies-Learning Outcomes Relation

  Program Competencies
1 2 3
Learning Outcomes
1 High High High
2 High High High
3 High High High
4 High High High
5 High High High

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

Not Required

Course Contents

Probability theory, sampling and sampling distributions, parametric and non-parametric statistical analysis, interval estimation, statistical inference, test of goodness of fit and independence, analysis of variance, regression analysis, application of the statistical methods via computer software.

Weekly Schedule

1) Significance Tests: Introduction
2) Significance Tests : Hypotheses, error level, sample size, properties of the groups examined, test types and properties, statistical decision, ways to decide appropriate test
3) Significance test of the difference between two means
4) Significance test in dependent groups
5) ANOVA: Introduction
6) ANOVA: One-way analysis of variance
7) ANOVA: Two-way analysis of variance
8) Midterm exam
9) Post hoc tests
10) Analysis of variance in repeated measurements
11) Sign Test
12) Mann-Whitney U Test
13) Wilcoxon Test
14) Kruskal Wallis Test
15) Chi-Square Test
16) Final exam

Recommended or Required Reading

Planned Learning Activities and Teaching Methods



Assessment Methods and Criteria

Contribution of Midterm Examination to Course Grade

30%

Contribution of Final Examination to Course Grade

70%

Total

100%

Language of Instruction

Turkish

Work Placement(s)

Not Required