IST106


Course Title Course Code Program Level
STATISTICAL METHODS II İST106 Statistics B.A. / B.Sc.

Course Term
(Course Semester)
Teaching and Learning Methods
Credits
Theory Practice Lab Projects/Field Work Seminars/Workshops Other Total Credits ECTS Credits
02
(Spring)
28 14 84 126 3 5

Teaching Staff
Language of Instruction Türkçe (Turkish)
Type Of Course Compulsory
Prerequisites None
Recommended Optional Programme Component
Course Objectives Teaching techniques of confidence interval, hypothesis testing, analysis of variance and regression analysis.
Course Content Course contains subjects of confidence interval, hypothesis testing, analysis of variance and regression analysis.
Learning Outcomes (LO) To show techniques of confidence interval, hypothesis testing, analysis of variance and regression analysis.
Mode of Delivery Face to face
Course Outline
Week Topics
1. Week Point Estimation
2. Week Interval Estimation and Sample Size
3. Week Confidence interval for one population parameter
4. Week Confidence interval concerning two population
5. Week Confidence interval concerning two population
6. Week Confidence interval for two dependent populations
7. Week Hypothesis testing
8. Week Hypothesis tests about population proportion and population variance
9. Week Hypothesis testing: Two population means
10. Week Hypothesis testing: Two population means
11. Week Hypothesis testing for two dependent populations
12. Week Chi-square test of independence
13. Week Correlation coefficient due to measurement levels
14. Week Simple linear regression
Assessment
  Percentage(%)
Mid-term (%) 40
Quizes (%)
Homeworks/Term papers (%)
Practice (%)
Labs (%)
Projects/Field Work (%)
Seminars/Workshops (%)
Final (%) 60
Other (%)
Total(%) 100
Course Book (s) and/or References 1. Ünver, Ö. ve Gamgam, H., “Uygulamalı Temel İstatistik Yöntemler, 5. baskı, Seçkin Yayınevi,2008.
Work Placement(s)
The Relationship between Program Qualifications (PQ) and Course Learning Outcomes (LO)