To enable students to analyze the parameters they will use in their numerical studies with specific statistical test methods
Course Content
This course contains; Basic concepts, sciences used in statistics,Data types, data scale types,Data collection techniques,Central tendency measures; Arithmetic mean, mode and median,Harmonic mean,Geometric average,Square and weighed average calculation,Variance, standard deviation,Variability coefficient calculation,Basic probability concepts,Permutation-combination,Rates, range types,Indices,General repetition of topics.
Dersin Öğrenme Kazanımları
Teaching Methods
Assessment Methods
1.Will be able to explain the basic concepts of statistics.
9
A
1.1.Defines the population.
9
1.2.Defines data types.
9
2.Will be able to create frequency distributions.
9
A
2.1.Creates simple series, frequency series and grouped series.
9
2.2.Creates a crosstab.
9
3.1.Draws Histogram, Frequency polygon, Cumulative Frequency graphs.
9
3.2.Draws Pie, Column-Bar and Pareto charts.
9
4.Will be able to summarize the data.
9
A
4.1.Calculate central tendency measures.
9
4.2.Calculate dispersion measurements.
9
5.1.Calculates simple index values.
9
5.2.Calculates compound index values.
9
3. Will be able to summarize statistical series graphically.
9
A
5. Will be able to calculate index values.
9
A
Teaching Methods:
9: Lecture Method
Assessment Methods:
A: Traditional Written Exam
Course Outline
Order
Subjects
Preliminary Work
1
Basic concepts, sciences used in statistics
Reading
2
Data types, data scale types
Reading
3
Data collection techniques
Reading
4
Central tendency measures; Arithmetic mean, mode and median
Having adequate infrastructure in the fields of accounting, law, basic management, management and field; To gain theoretical and practical knowledge in these areas.
X
2
To be able to interpret and evaluate data, to identify and analyze data using the basic knowledge and skills acquired in the field, and to be able to develop evidence-based solutions.
X
3
To be able to design, plan and carry out projects using professional environments and tools related to the field.
X
4
To be able to produce solutions, to take responsibilities in teams or to be able to do individual work in case of encountering unforeseen situations in field related applications.
X
5
To gain the application skills by examining the processes related to the field of public and private sector organizations on site.
X
6
Awareness of the necessity of life-long learning; To follow the developments in science and technology and to gain the consciousness of renewing itself continuously.
X
7
To acquire the ability to use computer software and hardware at the basic level required by the field.
8
Having a level of foreign language knowledge that can follow the innovations in the field of judge and field to effective communication techniques.
9
To be able to identify and effectively use the modern techniques, tools and information technologies required for applications related to the field.
10
To have a conscious of historical values, social responsibility, universal, social and professional ethics.
X
11
Business law and business security, environmental knowledge, tax law, professional legislation, other related laws and regulations, principles and concepts of accounting, international standards and quality conscious.
X
Assessment Methods
Contribution Level
Absolute Evaluation
Rate of Midterm Exam to Success
40
Rate of Final Exam to Success
60
Total
100
ECTS / Workload Table
Activities
Number of
Duration(Hour)
Total Workload(Hour)
Course Hours
14
3
42
Guided Problem Solving
14
3
42
Resolution of Homework Problems and Submission as a Report
14
2
28
Term Project
0
0
0
Presentation of Project / Seminar
0
0
0
Quiz
14
1
14
Midterm Exam
1
6
6
General Exam
1
8
8
Performance Task, Maintenance Plan
0
0
0
Total Workload(Hour)
140
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(140/30)
5
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
STATISTICS
-
Spring Semester
3+0
3
5
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of Course
Turkish
Course Level
Short Cycle (Associate's Degree)
Course Type
Required
Course Coordinator
Assoc.Prof. Serkan ETİ
Name of Lecturer(s)
Assoc.Prof. Serkan ETİ
Assistant(s)
Aim
To enable students to analyze the parameters they will use in their numerical studies with specific statistical test methods
Course Content
This course contains; Basic concepts, sciences used in statistics,Data types, data scale types,Data collection techniques,Central tendency measures; Arithmetic mean, mode and median,Harmonic mean,Geometric average,Square and weighed average calculation,Variance, standard deviation,Variability coefficient calculation,Basic probability concepts,Permutation-combination,Rates, range types,Indices,General repetition of topics.
Dersin Öğrenme Kazanımları
Teaching Methods
Assessment Methods
1.Will be able to explain the basic concepts of statistics.
9
A
1.1.Defines the population.
9
1.2.Defines data types.
9
2.Will be able to create frequency distributions.
9
A
2.1.Creates simple series, frequency series and grouped series.
9
2.2.Creates a crosstab.
9
3.1.Draws Histogram, Frequency polygon, Cumulative Frequency graphs.
9
3.2.Draws Pie, Column-Bar and Pareto charts.
9
4.Will be able to summarize the data.
9
A
4.1.Calculate central tendency measures.
9
4.2.Calculate dispersion measurements.
9
5.1.Calculates simple index values.
9
5.2.Calculates compound index values.
9
3. Will be able to summarize statistical series graphically.
9
A
5. Will be able to calculate index values.
9
A
Teaching Methods:
9: Lecture Method
Assessment Methods:
A: Traditional Written Exam
Course Outline
Order
Subjects
Preliminary Work
1
Basic concepts, sciences used in statistics
Reading
2
Data types, data scale types
Reading
3
Data collection techniques
Reading
4
Central tendency measures; Arithmetic mean, mode and median
Having adequate infrastructure in the fields of accounting, law, basic management, management and field; To gain theoretical and practical knowledge in these areas.
X
2
To be able to interpret and evaluate data, to identify and analyze data using the basic knowledge and skills acquired in the field, and to be able to develop evidence-based solutions.
X
3
To be able to design, plan and carry out projects using professional environments and tools related to the field.
X
4
To be able to produce solutions, to take responsibilities in teams or to be able to do individual work in case of encountering unforeseen situations in field related applications.
X
5
To gain the application skills by examining the processes related to the field of public and private sector organizations on site.
X
6
Awareness of the necessity of life-long learning; To follow the developments in science and technology and to gain the consciousness of renewing itself continuously.
X
7
To acquire the ability to use computer software and hardware at the basic level required by the field.
8
Having a level of foreign language knowledge that can follow the innovations in the field of judge and field to effective communication techniques.
9
To be able to identify and effectively use the modern techniques, tools and information technologies required for applications related to the field.
10
To have a conscious of historical values, social responsibility, universal, social and professional ethics.
X
11
Business law and business security, environmental knowledge, tax law, professional legislation, other related laws and regulations, principles and concepts of accounting, international standards and quality conscious.
