Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
BASİC STATİSTİCS UCOG263 3. Semester 2 + 0 2.0 4.0

Prerequisites None

Language of Instruction Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Mode of delivery
Course Coordinator
Instructors
Assistants
Goals The aim of this course provides that to understand the basic concepts of statistics and statistics, to organize and summarize data obtained by sampling methods, to display in the form of tables or graphs, to interpret and generalize research results.
Course Content This course includes the concept of statistics, the arrangement of data and data, graphs, measures of central tendency (sensitive or insensitive measures of central tendency and inaccurate central tendency), v measures of variability, moments, asymmetry and kurtosis, and sample problems covering all these topics.
Learning Outcomes 1) This course will provide students benefits related to the impostance of statistics and statistic, data and how to collect and organize data, and how to summarize the data.
2) how the data should be collected and organized
3) How data should be summarized

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week What is statistics?, History of statistics, Basic concepts about statistics Lecture; Question Answer; Problem Solving; Case Study
Brainstorming; Debate
Presentation (Including Preparation Time) Project (Including Preparation and presentation Time) Activity (Web Search, Library Work, Trip, Observation, Interview etc.) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
2. Week Frequency distributions Lecture; Problem Solving; Case Study

Project Based Learning
Presentation (Including Preparation Time) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
3. Week construction of the frequency tables for qualitative and quantitative data Lecture; Problem Solving

Project Based Learning
Presentation (Including Preparation Time) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
4. Week Measures of central tendency Lecture; Question Answer; Problem Solving

Presentation (Including Preparation Time)
5. Week Location and scale measures quantitative data Lecture; Question Answer; Problem Solving

Presentation (Including Preparation Time) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
6. Week Location and scale measures qualitative data Lecture; Question Answer; Problem Solving

Presentation (Including Preparation Time) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
7. Week Probability and probability axioms Lecture; Question Answer; Problem Solving

Presentation (Including Preparation Time) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
8. Week Random variables Lecture; Question Answer; Problem Solving

Presentation (Including Preparation Time) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
9. Week Midterm exam Problem Solving

10. Week Probablity distributions Lecture; Question Answer; Problem Solving

Presentation (Including Preparation Time) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
11. Week Binomial and Poisson distributioıns Lecture; Question Answer; Problem Solving

Presentation (Including Preparation Time) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
12. Week Normal Distribution Lecture; Question Answer; Problem Solving

Presentation (Including Preparation Time) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
13. Week Construction of probability distributions from frequency tables Lecture; Question Answer; Problem Solving

Presentation (Including Preparation Time) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
14. Week Comparisons of normal distribution with frequency distribution Lecture; Question Answer; Problem Solving

Presentation (Including Preparation Time) Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)

Sources Used in This Course
Recommended Sources
Erbaş Oral, S. (2013) Olasılık ve İstatistik, 3. Baskı, Gazi Kitabevi, Ankara.
Erili, N.A. (2014) İstatistik-1, Birinci Baskı, Şeçkin, Ankara.
Köklü, N.; Büyüköztürk Ş.; Çokluk Bökeoğlu, Ö. (2007) Sosyal Bilimler için İstatistik, 2. Baskı, Pegem A Yayıncılık, Ankara.
Köksal Aloba, B. (2003) İstatistik Analiz Metodları, 6. Baskı, Çağlayan Kitabevi, İstanbul.
Ünver, Ö.; Gamgam, H.; Altunkaynak, B. (2013) Temel İstatistik Yöntemler, 7. Baskı, Seçkin, Ankara.

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3
PY15000
PY25000
PY35000
PY45000

*DK = Course's Contrubution.
0 1 2 3 4 5
Level of contribution None Very Low Low Fair High Very High
.

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 2
Work Hour outside Classroom (Preparation, strengthening) 4 4
Presentation (Including Preparation Time) 2 6
Practice (Teaching Practice, Music/Musical Instrument Practice , Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice) 2 2
Midterm Exam 1 2
Time to prepare for Midterm Exam 1 15
Final Exam 1 2
Time to prepare for Final Exam 1 20
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
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Course Information