The aim of the statistical data analysis and reporting course is to convey basic information about the application, interpretation and reporting of statistical analyses, and the estimation of parameters based on data properties.
Course Content
This course contains; Basic Statistical Concepts,Data Types,Sampling Theory, Statistical Inference,Confidence interval for population mean,SPSS applications,SPSS applications,Determination of sample size and Hypothesis tests,Chi-square test of independence,Regression analysis,Correlation analysis,Survey design and scale development,SPSS applications, overview.
Course Learning Outcomes
Teaching Methods
Assessment Methods
1. Models statistical problems.
6, 9
A, E
2. Uses statistics in interdisciplinary studies.
6, 9
A, E
3. Organizes data sets and extract statistically significant results from them.
6, 9
A, E
4. Uses SPSS packkage program.
6, 9
A, E
5. Explains differences between analyses.
6, 9
A, E
6. Understands how to perform and interpret statistical analysis.
6, 9
A, E
Teaching Methods:
6: Experiential Learning, 9: Lecture Method
Assessment Methods:
A: Traditional Written Exam, E: Homework
Course Outline
Order
Subjects
Preliminary Work
1
Basic Statistical Concepts
2
Data Types
3
Sampling Theory
4
Statistical Inference
5
Confidence interval for population mean
6
SPSS applications
7
SPSS applications
8
Determination of sample size and Hypothesis tests
9
Chi-square test of independence
10
Regression analysis
11
Correlation analysis
12
Survey design and scale development
13
SPSS applications
14
overview
Resources
Discovering Statistics Using SPSS (3rd Edition). London: Sage Pallant, J. (2016).
SPSS Kullanma Kılavuzu: SPSS ile adım adım veri analizi (çev. Balcı & Ahi). Anı Yayıncılık
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications
No
Program Qualification
Contribution Level
1
2
3
4
5
1
Defines theoretical knowledge in the field of management.
X
1
Uses at least one computer program required in the field of management.
X
1
Adopts the principles of scientific ethics and scientific responsibility.
X
1
Uses theoretical and practical knowledge in the field of management.
X
2
Analyzes and uses basic information and data from different disciplines (economy, finance, sociology, law, business) in order to carry out interdisciplinary studies.
X
2
Have the research skills required to conduct academic studies.
X
2
Explains the mathematical and statistical methods required in the field of management.
X
3
Have time management skills.
X
3
Expands the boundaries of knowledge in the field by producing or interpreting an original work by conducting at least one scientific study in the field.
X
Assessment Methods
Contribution Level
Absolute Evaluation
Rate of Midterm Exam to Success
50
Rate of Final Exam to Success
50
Total
100
ECTS / Workload Table
Activities
Number of
Duration(Hour)
Total Workload(Hour)
Course Hours
14
3
42
Guided Problem Solving
14
2
28
Resolution of Homework Problems and Submission as a Report
14
3
42
Term Project
14
3
42
Presentation of Project / Seminar
30
1
30
Quiz
0
0
0
Midterm Exam
1
30
30
General Exam
1
50
50
Performance Task, Maintenance Plan
0
0
0
Total Workload(Hour)
264
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(264/30)
9
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.
Detail Informations of the Course
Course Description
Course
Code
Semester
T+P (Hour)
Credit
ECTS
STATISTICAL DATA ANALYSIS and REPORTING
BUSD1213982
Spring Semester
3+0
3
9
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of Course
English
Course Level
Third Cycle (Doctorate Degree)
Course Type
Required
Course Coordinator
Assoc.Prof. Pınar ACAR
Name of Lecturer(s)
Assoc.Prof. Pınar ACAR
Assistant(s)
Aim
The aim of the statistical data analysis and reporting course is to convey basic information about the application, interpretation and reporting of statistical analyses, and the estimation of parameters based on data properties.
Course Content
This course contains; Basic Statistical Concepts,Data Types,Sampling Theory, Statistical Inference,Confidence interval for population mean,SPSS applications,SPSS applications,Determination of sample size and Hypothesis tests,Chi-square test of independence,Regression analysis,Correlation analysis,Survey design and scale development,SPSS applications, overview.
Course Learning Outcomes
Teaching Methods
Assessment Methods
1. Models statistical problems.
6, 9
A, E
2. Uses statistics in interdisciplinary studies.
6, 9
A, E
3. Organizes data sets and extract statistically significant results from them.
6, 9
A, E
4. Uses SPSS packkage program.
6, 9
A, E
5. Explains differences between analyses.
6, 9
A, E
6. Understands how to perform and interpret statistical analysis.
6, 9
A, E
Teaching Methods:
6: Experiential Learning, 9: Lecture Method
Assessment Methods:
A: Traditional Written Exam, E: Homework
Course Outline
Order
Subjects
Preliminary Work
1
Basic Statistical Concepts
2
Data Types
3
Sampling Theory
4
Statistical Inference
5
Confidence interval for population mean
6
SPSS applications
7
SPSS applications
8
Determination of sample size and Hypothesis tests
9
Chi-square test of independence
10
Regression analysis
11
Correlation analysis
12
Survey design and scale development
13
SPSS applications
14
overview
Resources
Discovering Statistics Using SPSS (3rd Edition). London: Sage Pallant, J. (2016).
SPSS Kullanma Kılavuzu: SPSS ile adım adım veri analizi (çev. Balcı & Ahi). Anı Yayıncılık
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications
No
Program Qualification
Contribution Level
1
2
3
4
5
1
Defines theoretical knowledge in the field of management.
X
1
Uses at least one computer program required in the field of management.
X
1
Adopts the principles of scientific ethics and scientific responsibility.
X
1
Uses theoretical and practical knowledge in the field of management.
X
2
Analyzes and uses basic information and data from different disciplines (economy, finance, sociology, law, business) in order to carry out interdisciplinary studies.
X
2
Have the research skills required to conduct academic studies.
X
2
Explains the mathematical and statistical methods required in the field of management.
X
3
Have time management skills.
X
3
Expands the boundaries of knowledge in the field by producing or interpreting an original work by conducting at least one scientific study in the field.
