Teaching Staff
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Language of Instruction |
Türkçe (Turkish) |
Type Of Course |
Compulsory |
Prerequisites |
None |
Recommended Optional Programme Component |
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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 |
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Assessment |
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Percentage(%) |
Mid-term (%) |
40 |
Quizes (%) |
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Homeworks/Term papers (%) |
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Practice (%) |
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Labs (%) |
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Projects/Field Work (%) |
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Seminars/Workshops (%) |
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Final (%) |
60 |
Other (%) |
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Total(%) |
100 |
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Course Book (s) and/or References |
1. Ünver, Ö. ve Gamgam, H., “Uygulamalı Temel İstatistik Yöntemler, 5. baskı, Seçkin Yayınevi,2008. |
Work Placement(s) |
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The Relationship between Program Qualifications (PQ) and Course Learning Outcomes (LO) |
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