Course Information

Course Information
Course Title Code Semester L+U Hour Credits ECTS
Statistics MUH1522 2. Semester 1 + 1 2.0 4.0
Prerequisites None
Language of Instruction Turkish
Course Level Associate
Course Type
Mode of delivery Face to face
Course Coordinator Lect. Fisun KAŞKIR KESİN
Instructor(s) Fisun KAŞKIR KESİN
Assistants
Goals Both in business, as well as various organizations in decision-making for the best employees need data that has been collected can be, with the ability to gain the storing and processing.
Course Content Definition of Statistics, basic concepts used, data types and methods of collecting, organizing data, measures of central tendency, dispersion, estimation theory, correlation analysis, it is aimed to teach the regression analysis and indexes
Learning Outcomes - The decision to collect the data that will be used in the making
- Bringing the person regularly to provide relevant data collected at the plant and shown in various graphic media
- using measures of central tendency and dispersion which is concentrated around the value of the data group and showed how distribution
- Determining the function of the sample selected from the group which carried out the research could be used in research
- Which of these functions selected for research, which is more appropriate to use the case and the determination of superiority to each other
- determining the relationship between decision variables used in the process
Weekly Topics (Content)
Week Topics Learning Methods
1. Week The definition of statistics, variable populations, unit, unit selection and compilation of data types Course Hours Preparation, After Class Study Other Activities Research
2. Week Series in Statistics; time, place and distribution series, accumulated series, composite series and this series is shown in a graphical environment Research Other Activities Course Hours Preparation, After Class Study
3. Week Sensitive averages; the arithmetic mean, weighed arithmetic mean, geometric mean and mean square Research Other Activities Preparation, After Class Study Course Hours
4. Week Non-sensitive average; mode and median Research Other Activities Course Hours Preparation, After Class Study
5. Week Change range, standard deviation, coefficient of variation, variance Other Activities Research Preparation, After Class Study Course Hours
6. Week Estimation theory Course Hours Other Activities Preparation, After Class Study Research
7. Week Hypothesis testing to determine the level of significance Course Hours Preparation, After Class Study Research Other Activities
8. Week Chi-square test Research Course Hours Preparation, After Class Study Other Activities
9. Week Midterm Research Other Activities Course Hours Preparation, After Class Study
10. Week Case studies Course Hours Preparation, After Class Study Research Other Activities
11. Week Correlation analysis Research Other Activities Course Hours Preparation, After Class Study
12. Week Regression analysis Course Hours Preparation, After Class Study Research Other Activities
13. Week indexes Other Activities Course Hours Preparation, After Class Study Research
14. Week indexes
Recommended Sources
İstatistik(2006), Anadolu Üniversitesi AÖF Yayınları.
Nemci GÜRSAKAL(2000), İstatistiğin ABC’si, Marmara Kitabevi.
Relations with Education Attainment Program Course Competencies
Program Requirements Contribution Level DK1 DK2 DK3 DK4 DK5 DK6 Measurement Method
PY1 3 3 3 3 3 3 3 -
PY2 3 3 3 3 3 3 3 -
PY3 0 0 0 0 0 0 0 -
PY4 0 0 0 0 0 0 0 -
PY5 3 0 0 0 0 0 0 40,60
PY6 0 0 0 0 0 0 0 -
PY7 0 0 0 0 0 0 0 -
PY8 0 0 0 0 0 0 0 -
PY9 0 0 0 0 0 0 0 -
PY10 0 0 0 0 0 0 0 -
PY11 0 0 0 0 0 0 0 -
PY12 3 0 0 0 0 0 0 -
*DK = Course's Contrubution.
0 1 2 3 4 5
Course's Level of contribution None Very Low Low Fair High Very High
Method of assessment/evaluation Written exam Oral Exams Assignment/Project Laboratory work Presentation/Seminar
ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Hours 14 3 42
Preparation, After Class Study 14 1 14
Midterm 1 1 11 11
Homework 1 5 2 10
Quiz 1 1 1 1
Final 1 14 14
Practice 6 1 6
Classroom Activities 4 1 4
Total Workload 102
ECTS Credit of the Course 4.0