Skip to main content

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
STATISTICSPPA2210665Spring Semester3+035
Course Program

Salı 14:30-15:15

Salı 15:30-16:15

Salı 16:30-17:15

Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeRequired
Course CoordinatorAssist.Prof. Okan AKMEHMET
Name of Lecturer(s)Assist.Prof. Okan AKMEHMET
Assistant(s)
AimThis course aims to endow students with the knowledge necessary to conduct statistical analysis of quantitative data. This course in general focuses on the following topics: What is statistics?; Descriptive statistics: frequency distributions and percentiles, central tendency, variability (dispersion), normal distribution; inferential statistics: sampling, correlation, hypothesis testing (one sample or two samples), ANOVA, Chi-square test, Regression, SPSS application.
Course ContentThis course contains; Sampling and Data,Descriptive Statistics,Probability,Discrete Random Variables,Continuous Random Variables,The Bell Curve (Normal Distribution),Central Limit Theorem ,Confidence Intervals,Hypothesis Testing with One Sample,Hypothesis Testing with Two Samples,Chi-Square Distribution,Linear Regression and Correlation,F-Distribution and One-Way Anova,SPSS Project.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
1. Uses statistical tools to describe/analyze available data and explain results in scientific English.10, 11, 12, 13, 14, 2, 9A, G
2. Makes inferences concerning population means and proportions.10, 11, 12, 13, 2, 9A, E, G
3. Develops the ability to comprehend academic articles which utilize.16, 2, 9A, E
4. Discusses the fundamental statistical concepts and explains their meanings in English.10, 12, 14, 9A, D, E, G
5. Analyze data using SPSS and reach a higher overall level of statistical literacy.11, 12, 13, 14, 16, 6, 9A, F, G, H
Teaching Methods:10: Discussion Method, 11: Demonstration Method, 12: Problem Solving Method, 13: Case Study Method, 14: Self Study Method, 16: Question - Answer Technique, 2: Project Based Learning Model, 6: Experiential Learning, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam, D: Oral Exam, E: Homework, F: Project Task, G: Quiz, H: Performance Task

Course Outline

OrderSubjectsPreliminary Work
1Sampling and DataChapter 1
2Descriptive StatisticsChapter 2
3ProbabilityChapter 3
4Discrete Random VariablesChapter 4
5Continuous Random VariablesChapter 5
6The Bell Curve (Normal Distribution)Chapter 6
7Central Limit Theorem Chapter 7
8Confidence IntervalsChapter 8
9Hypothesis Testing with One SampleChapter 9
10Hypothesis Testing with Two SamplesChapter 10
11Chi-Square DistributionChapter 11
12Linear Regression and CorrelationChapter 12
13F-Distribution and One-Way AnovaChapter 13
14SPSS ProjectTBA
Resources
Illowsky, Barbara & Dean, Susan. Introductory Statistics 2e

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
1. Students will know basic concepts and theories of both research and application in political science and public administration.
X
2
2. Students will be able to analyze facts about politics, political and constitutional systems, and public administration by taking different dimensions into account. They will also be able to understand the causes of new developments and problems in these fields, find solutions for these problems, and think systematically about them.
X
3
3. Students will be able to work in processes such as strategic planning, policy making, project productions, auditing, decision making, evaluation and implementation both in public and private sector, political parties, and non-governmental organizations.
X
4
4. Students will be able to deal with complexities stemming from natural or social systems and uncertainties about the facts and values.
X
5
5. Students will be able to take active roles in teams formed for producing solutions to the problems related to their own majors, manage activities through planning, and do academic research.
X
6
6. Students will be able to collect data in their own field, analyze these data by using technology effectively, and evaluate and critically interpret them.
X
7
7. Students will be able to use basic concepts and methods that the administrators would need in various fields such as economics, management, international relations, and communication.
X
8
8. Students will be able to use Turkish fluently and correctly in scientific and professional studies. They will also be able to read and understand at least one foreign language.
X
9
9. Being always open to learning, students will be able to evaluate the facts with a critical approach.
X
10
10. Students will be able to take responsibility in developing projects on voluntary basis and actively participate in them.
11
11. Students will act with an ethical consciousness and have a respect for to human rights. They will be open to communication with people and able to work in cooperation.
X
12
12. Students will be able to constitute high performance structures in public and private institutions by using modern management methods and instruments.
X
13
13. Students will be able to enable other groups and institutions to participate in policy-making processes, make decisions open to collaboration, and manage negotiation processes.

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 40
Rate of Final Exam to Success 60
Total 100
ECTS / Workload Table
ActivitiesNumber ofDuration(Hour)Total Workload(Hour)
Course Hours15345
Guided Problem Solving000
Resolution of Homework Problems and Submission as a Report14570
Term Project000
Presentation of Project / Seminar000
Quiz000
Midterm Exam11010
General Exam11515
Performance Task, Maintenance Plan000
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

CourseCodeSemesterT+P (Hour)CreditECTS
STATISTICSPPA2210665Spring Semester3+035
Course Program

Salı 14:30-15:15

Salı 15:30-16:15

Salı 16:30-17:15

Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeRequired
Course CoordinatorAssist.Prof. Okan AKMEHMET
Name of Lecturer(s)Assist.Prof. Okan AKMEHMET
Assistant(s)
AimThis course aims to endow students with the knowledge necessary to conduct statistical analysis of quantitative data. This course in general focuses on the following topics: What is statistics?; Descriptive statistics: frequency distributions and percentiles, central tendency, variability (dispersion), normal distribution; inferential statistics: sampling, correlation, hypothesis testing (one sample or two samples), ANOVA, Chi-square test, Regression, SPSS application.
Course ContentThis course contains; Sampling and Data,Descriptive Statistics,Probability,Discrete Random Variables,Continuous Random Variables,The Bell Curve (Normal Distribution),Central Limit Theorem ,Confidence Intervals,Hypothesis Testing with One Sample,Hypothesis Testing with Two Samples,Chi-Square Distribution,Linear Regression and Correlation,F-Distribution and One-Way Anova,SPSS Project.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
1. Uses statistical tools to describe/analyze available data and explain results in scientific English.10, 11, 12, 13, 14, 2, 9A, G
2. Makes inferences concerning population means and proportions.10, 11, 12, 13, 2, 9A, E, G
3. Develops the ability to comprehend academic articles which utilize.16, 2, 9A, E
4. Discusses the fundamental statistical concepts and explains their meanings in English.10, 12, 14, 9A, D, E, G
5. Analyze data using SPSS and reach a higher overall level of statistical literacy.11, 12, 13, 14, 16, 6, 9A, F, G, H
Teaching Methods:10: Discussion Method, 11: Demonstration Method, 12: Problem Solving Method, 13: Case Study Method, 14: Self Study Method, 16: Question - Answer Technique, 2: Project Based Learning Model, 6: Experiential Learning, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam, D: Oral Exam, E: Homework, F: Project Task, G: Quiz, H: Performance Task

Course Outline

OrderSubjectsPreliminary Work
1Sampling and DataChapter 1
2Descriptive StatisticsChapter 2
3ProbabilityChapter 3
4Discrete Random VariablesChapter 4
5Continuous Random VariablesChapter 5
6The Bell Curve (Normal Distribution)Chapter 6
7Central Limit Theorem Chapter 7
8Confidence IntervalsChapter 8
9Hypothesis Testing with One SampleChapter 9
10Hypothesis Testing with Two SamplesChapter 10
11Chi-Square DistributionChapter 11
12Linear Regression and CorrelationChapter 12
13F-Distribution and One-Way AnovaChapter 13
14SPSS ProjectTBA
Resources
Illowsky, Barbara & Dean, Susan. Introductory Statistics 2e

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
1. Students will know basic concepts and theories of both research and application in political science and public administration.
X
2
2. Students will be able to analyze facts about politics, political and constitutional systems, and public administration by taking different dimensions into account. They will also be able to understand the causes of new developments and problems in these fields, find solutions for these problems, and think systematically about them.
X
3
3. Students will be able to work in processes such as strategic planning, policy making, project productions, auditing, decision making, evaluation and implementation both in public and private sector, political parties, and non-governmental organizations.
X
4
4. Students will be able to deal with complexities stemming from natural or social systems and uncertainties about the facts and values.
X
5
5. Students will be able to take active roles in teams formed for producing solutions to the problems related to their own majors, manage activities through planning, and do academic research.
X
6
6. Students will be able to collect data in their own field, analyze these data by using technology effectively, and evaluate and critically interpret them.
X
7
7. Students will be able to use basic concepts and methods that the administrators would need in various fields such as economics, management, international relations, and communication.
X
8
8. Students will be able to use Turkish fluently and correctly in scientific and professional studies. They will also be able to read and understand at least one foreign language.
X
9
9. Being always open to learning, students will be able to evaluate the facts with a critical approach.
X
10
10. Students will be able to take responsibility in developing projects on voluntary basis and actively participate in them.
11
11. Students will act with an ethical consciousness and have a respect for to human rights. They will be open to communication with people and able to work in cooperation.
X
12
12. Students will be able to constitute high performance structures in public and private institutions by using modern management methods and instruments.
X
13
13. Students will be able to enable other groups and institutions to participate in policy-making processes, make decisions open to collaboration, and manage negotiation processes.

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 40
Rate of Final Exam to Success 60
Total 100

Numerical Data

Student Success

Ekleme Tarihi: 11/12/2023 - 11:02Son Güncelleme Tarihi: 11/12/2023 - 11:02