COURSE INTRODUCTION AND APPLICATION INFORMATION


Course Name
Applied Statistical Analysis
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
STAT 505
Fall/Spring
3
0
3
7.5
Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
Second Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course
Course Coordinator -
Course Lecturer(s)
Assistant(s) -
Course Objectives This course provides essential materials for analyzing statistical data appear in various fields of science such as engineering, medicine and finance
Learning Outcomes The students who succeeded in this course;
  • will be able to describe descriptive information using data.
  • will be able to list and summarize statistical data.
  • will be able to identify outlier data among the data.
  • will be able to calculate estimators for statistical data.
  • will be able to put forward and test hypotheses for statistical data.
  • will be able to analyze the relationship between one or more random variables.
  • will be able to calculate statistical data and nonparametric estimators.
Course Description This course provides essential materials for analyzing statistical data appear in various fields of science.
Related Sustainable Development Goals

 



Course Category

Core Courses
X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Why to study statistics and the concept of decision making in an uncertain environment. Importance of describing data and summarizing descriptive relationships. "Statistical Techniques in Business & Economics (Student edition)" by D. Lind, W. Marchal, S. Wathen, McGraw-Hill, 17th Edition, 2017. ISBN-13: 978-1259666360 Chapter 1 (Pages: 1-17)
2 Sampling Methods and the Central Limit Theorem, Applications of Excel "Statistical Techniques in Business & Economics (Student edition)" by D. Lind, W. Marchal, S. Wathen, McGraw-Hill, 17th Edition, 2017. ISBN-13: 978-1259666360 Chapter 8 (Pages: 250-281)
3 Estimation and Confidence Intervals, Applications of Excel "Statistical Techniques in Business & Economics (Student edition)" by D. Lind, W. Marchal, S. Wathen, McGraw-Hill, 17th Edition, 2017. ISBN-13: 978-1259666360 Chapter 9 (Pages: 282-317)
4 One-Sample Tests of Hypothesis, Applications of Excel "Statistical Techniques in Business & Economics (Student edition)" by D. Lind, W. Marchal, S. Wathen, McGraw-Hill, 17th Edition, 2017. ISBN-13: 978-1259666360 Chapter 10 (Pages: 318-352)
5 Two-Sample Tests of Hypothesis, Applications of Excel "Statistical Techniques in Business & Economics (Student edition)" by D. Lind, W. Marchal, S. Wathen, McGraw-Hill, 17th Edition, 2017. ISBN-13: 978-1259666360 Chapter 11 (Pages: 353-385)
6 Analysis of Variance, Applications of Excel "Statistical Techniques in Business & Economics (Student edition)" by D. Lind, W. Marchal, S. Wathen, McGraw-Hill, 17th Edition, 2017. ISBN-13: 978-1259666360 Chapter 12 (Pages: 386-434)
7 Midterm
8 Correlation and Linear Regression, Applications of Excel "Statistical Techniques in Business & Economics (Student edition)" by D. Lind, W. Marchal, S. Wathen, McGraw-Hill, 17th Edition, 2017. ISBN-13: 978-1259666360 Chapter 11 (Pages: 436-487)
9 Correlation and Linear Regression, Applications of Excel "Statistical Techniques in Business & Economics (Student edition)" by D. Lind, W. Marchal, S. Wathen, McGraw-Hill, 17th Edition, 2017. ISBN-13: 978-1259666360 Chapter 11 (Pages: 436-487)
10 Multiple Regression Analysis, Applications of Excel "Statistical Techniques in Business & Economics (Student edition)" by D. Lind, W. Marchal, S. Wathen, McGraw-Hill, 17th Edition, 2017. ISBN-13: 978-1259666360 Chapter 11 (Pages: 488-544)
11 Multiple Regression Analysis, Applications of Excel "Statistical Techniques in Business & Economics (Student edition)" by D. Lind, W. Marchal, S. Wathen, McGraw-Hill, 17th Edition, 2017. ISBN-13: 978-1259666360 Chapter 11 (Pages: 488-544)
12 Nonparametric Methods: Nominal Level Hypothesis Tests, Applications of Excel "Statistical Techniques in Business & Economics (Student edition)" by D. Lind, W. Marchal, S. Wathen, McGraw-Hill, 17th Edition, 2017. ISBN-13: 978-1259666360 Chapter 11 (Pages: 545-581)
13 Nonparametric Methods: Analysis of Ordinal Data, Applications of Excel "Statistical Techniques in Business & Economics (Student edition)" by D. Lind, W. Marchal, S. Wathen, McGraw-Hill, 17th Edition, 2017. ISBN-13: 978-1259666360 Chapter 11 (Pages: 582-620)
14 Nonparametric Methods: Analysis of Ordinal Data, Applications of Excel "Statistical Techniques in Business & Economics (Student edition)" by D. Lind, W. Marchal, S. Wathen, McGraw-Hill, 17th Edition, 2017. ISBN-13: 978-1259666360 Chapter 11 (Pages: 582-620)
15 Semester Review
16 Final Exam
Course Notes/Textbooks

"Statistical Techniques in Business & Economics (Student edition)" by D. Lind, W. Marchal, S. Wathen, McGraw-Hill, 17th Edition,  2017. ISBN-13: 978-1259666360

Suggested Readings/Materials

Statistical Techniques for Data Analysis” by J.K. Taylor and C. Cihon, Chapman&Hall, 2nd Edition, 2004. ISBN-13: 978-1584883852

“Statistical Inference” by G. Casella and R. L. Berger, Duxbury Press, 1st Edition, 1990. ISBN-13: 978-0534119584

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
14
10
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
1
10
Project
1
20
Seminar / Workshop
Oral Exam
Midterm
1
30
Final Exam
1
30
Total

Weighting of Semester Activities on the Final Grade
17
70
Weighting of End-of-Semester Activities on the Final Grade
1
30
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
Study Hours Out of Class
14
5
70
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
1
12
Project
1
20
Seminar / Workshop
Oral Exam
Midterms
1
30
Final Exams
1
45
    Total
225

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To develop and deepen his/her knowledge on theories of mathematics and statistics and their applications in level of expertise, and to obtain unique definitions which bring innovations to the area, based on master level competencies,

X
2

To have the ability of original, independent and critical thinking in Mathematics and Statistics and to be able to develop theoretical concepts,

X
3

To have the ability of defining and verifying problems in Mathematics and Statistics,

X
4

With an interdisciplinary approach, to be able to apply theoretical and applied methods of mathematics and statistics in analyzing and solving new problems and to be able to discover his/her own potentials with respect to the application,

X
5

In nearly every fields that mathematics and statistics are used, to be able to execute, conclude and report a research, which requires expertise, independently,

X
6

To be able to evaluate and renew his/her abilities and knowledge acquired in the field of Applied Mathematics and Statistics with critical approach, and to be able to analyze, synthesize and evaluate complex thoughts in a critical way,

X
7

To be able to convey his/her analyses and methods in the field of Applied Mathematics and Statistics to the experts in a scientific way,

X
8

To be able to use national and international academic resources (English) efficiently, to update his/her knowledge, to communicate with his/her native and foreign colleagues easily, to follow the literature periodically, to contribute scientific meetings held in his/her own field and other fields systematically as written, oral and visual.

X
9

To be familiar with computer software commonly used in the fields of Applied Mathematics and Statistics and to be able to use at least two of them efficiently,

X
10

To contribute the transformation process of his/her own society into an information society and the sustainability of this process by introducing scientific, technological, social and cultural advances in the fields of Applied Mathematics and Statistics,

X
11

As having rich cultural background and social sensitivity with a global perspective, to be able to evaluate all processes efficiently, to be able to contribute the solutions of social, scientific, cultural and ethical problems and to support the development of these values,

X
12

As being competent in abstract thinking, to be able to connect abstract events to concrete events and to transfer solutions, to analyze results with scientific methods by designing experiment and collecting data and to interpret them,

X
13

To be able to produce strategies, policies and plans about systems and topics in which mathematics and statistics are used and to be able to interpret and develop results,

X
14

To be able to evaluate, argue and analyze prominent persons, events and phenomena, which play an important role in the development and combination of the fields of Mathematics and Statistics, within the perspective of the development of other fields of science,

X
15

In Applied Mathematics and Statistics, to be able to sustain scientific work as an individual or a group, to be effective in all phases of an independent work, to participate decision-making process and to make and execute necessary planning within an effective time schedule.

X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest