IST208


Course Title Course Code Program Level
STATISTICS and PROBABILITY II İST208 International Trade 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
04
(Spring)
42 28 38 104 3 4

Teaching Staff
Language of Instruction Türkçe (Turkish)
Type Of Course Compulsory
Prerequisites -
Recommended Optional Programme Component
Course Objectives Course contains subjects of confidence interval, hypothesis testing, analysis of variance and regression analysis.
Course Content Teaching techniques 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 Confidence interval for one population parameter
2. Week Hypothesis tests about population proportion and population variance
3. Week Hypothesis testing: Two population means
4. Week Hypothesis testing: Two population proportions and two population variances
5. Week Confidence interval concerning two population
6. Week Chi-square test of independence
7. Week Chi-square goodness of fit test
8. Week Chi-square goodness of fit test
9. Week One way ANOVA
10. Week One way ANOVA
11. Week Correlation
12. Week Simple linear regression
13. Week Simple linear regression
14. Week Trend analysis
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., Gamgam H., 2008, Uygulamalı Temel İstatistik Yöntemler, Seçkin, Ankara. 2. Bluman, Allan, G., 2004, Elementary Statistics, Mc Graw Hill.
Work Placement(s)
The Relationship between Program Qualifications (PQ) and Course Learning Outcomes (LO)