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Course Code: 
STAT 411
Course Period: 
Spring
Course Type: 
Core
P: 
3
Application: 
0
Credits: 
3
ECTS: 
5
Prerequisite Courses: 
Statistics
Course Language: 
İngilizce
Course Objectives: 

The aim of this course is to gain ability for the students to perform the advanced applications of statistical analysis. Inferential statistics, Hypothesis Tests review, One and two-sample tests, Multiple Regression and Correlations, Chi-square normality and homogeneity Tests, Two-way Analysis of Variance, Post-hoc ANOVA Tests, Sampling are included in this course as well.

Course Content: 

Hypothesis Tests, One and two-sample tests, Multiple Regression and Correlations, Chi-square normality and homogeneity Tests, Two-way Analysis of Variance, Post-hoc ANOVA Tests, Sampling

Course Methodology: 
1: Lecture, 2: Question-Answer, 3: Discussion, 4: Simulation, 5: Case Study
Course Evaluation Methods: 
A: Testing B: Presentation, C: Homework, D: Project, E: Laboratory

Vertical Tabs

Course Learning Outcomes

Learning Outcomes

Program Learning Outcomes

Teaching Methods

Assessment Methods

Describe basic concepts of Inferential statistics

1, 2

1, 2, 3

A

Learning Hypothesis Tests, One and two-sample tests

2

1, 2, 3

A

Analyze Multiple Regression and Correlations

1, 4

1, 2, 3

A

Perform calculation of Chi-square normality and homogeneity Tests

3, 5, 6

1, 2, 3

A

Describe concept of Analysis of Variance, Post-hoc ANOVA Tests

7, 8

1, 2, 3

A

Solve problems about Normal Distribution and Standard Normal Distribution

3, 5, 6

1, 2, 3

A

Explain Sampling techiques

3, 5, 6

1, 2, 3

A
 

Course Flow

Week

Topics

Study Materials

1

Probability distributions review

 The basic concepts of statistics

2

Central Limit theorem, Confidence Intervals review

 Data Gathering

3

Additional Topics for Hypothesis Testing

 Data Processing

4

Correlation and regression analysis, computer app.

 Analysis of variance

5

One-way, Two-way analysis of variance

 Analysis of variance

6

Post-hoc tests for ANOVA, computer app.

Analysis of variance

7

Evaluation of ANOVA Table and tests

Analysis of variance

8

Mid-term Exam

 

9

Tests using Contingency Tables

 Chi-Square Distribution

10

Non-parametric Statistics, computer app.

 The basic concepts of statistics

11

Kruskal Wallis and Wilcoxon tests

 Non-parametric Statistics

12

Sampling , computer app.

Variance

13

Simulation , computer app.

 Probability, The basic concepts of statistics

14

Review

 Concepts of statistics

15

Final Exam

 
 

Recommended Sources

Textbook

 Elemantary Statistics, Bluman, McGraw-Hill, 8th Edition

Additional Resources

 Lecture notes, scientific calculator
 

Material Sharing

Documents

Guidelines and additional examples for Lecture Topics

Assignments

Homework Assignments

Exams

Midterm Exam and Final Exam
 

Assessment

IN-TERM STUDIES

NUMBER

PERCENTAGE

Mid-terms

1

40

Quizzes

2

10

Attendance

-

0

Final

1

50

Total

 

100

Contribution of Final Examination to Overall Grade

 

50

Contribution of In-Term Studies to Overall Grade

 

50

Total

 

100
 

Course’s Contribution to Program

No

Program Learning Outcomes

Contribution

1

2

3

4

5

1

Students can keep themselves informed and analyze the current economic development in Turkey and in the world from an international political economy perspective paying a particular attention to the interaction of the Turkish economy with the global economy.

 

 

 

X

 

2

Being aware of the development and accumulation of economic thought, students can master qualitative and quantitative knowledge and methods to test various economic theories that can be applied to the analysis of the current economic problems.

 

 

 

 

X

3

Students can use statistical and econometric analyses by learning how to use information technologies that have validity and widespread use in the field of economics.

 

 

X

 

 

4

By learning how to learn in the field of economics, students can research and work individually or as a team using the Turkish and English academic resources.

 

 

 

X

 

5

Being aware of the ethical values, students know the individual, social and ecological dimensions of the concept of social responsibility and can prove that they understand the active citizenship duty that falls upon them within this framework.

 

 

 

 

 

6

Students can clearly express, present and share their knowledge, the outcomes of their studies, their ideas and comments to people in their field or other disciplines/units using the necessary data, in national and international academic and professional environments, in Turkish or English.

 

 

X

 

 

7

Students can show that understanding the universality of social rights and the concepts of social justice, which form the basis of the modern societies, and the importance of scientific perspective, which is necessary to the social development and global competitiveness.

 

 

 

 

X
 

ECTS

Activities

Quantity

Duration (Hour)

Total Workload (Hour)

Course Duration (Including the exam week: 15x Total course hours)

15

3

45

Hours for off-the-classroom study (Pre-study, practice)

15

2

30

Mid-terms

1

1

1

Homework

3

14

42

Final examination

1

2

2

Total Work Load

 

 

120

Total Work Load / 25 (h)

 

 

4,8

ECTS Credit of the Course

 

 

5
 
2
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