Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
IMO3062013331STATISTICS AND PROBABILITY IICompulsory364
Level of Course Unit
First Cycle
Objectives of the Course
To recognize distributions, to learn and use possible statistical methods for decision analyse
Name of Lecturer(s)
Asst. Prof. Dr.Mehmet KORKMAZ
Learning Outcomes
1Students will have concepts on normal distribution and apply them on regarding problems
2Students will have concepts on sample distribution and apply them on related problems
3Students will have concepts on confidence interval and apply them on related problems when needed
4Students gain the skills to use hypothesis tests for taking a decision.
5Student can explain the purpose of t-test, chi-square test and apply these tests on various groups.
6Student can explain the concepts of correlation and regression analysis, and explain how to apply.
Mode of Delivery
Formal Education
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
Concept of distribution, The characteristics of normal distribution, Areas under the standard normal curve, Approximantion of discrete distribution to normal distribution,Approximantion of binomial distribution to normal distribution, Chi-square distribution, Theoretical knowledge of sampling theory, The average of the sample distributions, sample distribution rates, the averaage differences between the sample distribution, sampling distributions of differences between proportions and applications, Brief theorical knowledge about the theory of estimates, point estimates and confidence limits, the average for the confidence interval
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Concept of distribution
2The characteristics of normal distribution
3Areas under the standard normal curve
4Approximantion of discrete distribution to normal distribution
5Approximantion of binomial distribution to normal distribution
6Approximantion of binomial distribution to normal distribution
7Approximantion of Poisson distribution to normal distribution
8Midterm
9Theoretical knowledge of sampling theory
10Chi-square distribution
11The average of the sample distributions, sample distribution rates, the averaage differences between the sample distribution, sampling distributions of differences between proportions and applications
12The average of the sample distributions, sample distribution rates, the averaage differences between the sample distribution, sampling distributions of differences between proportions and applications
13Brief theorical knowledge about the theory of estimates, point estimates and confidence limits, the average for the confidence interval
14Brief theorical knowledge about the theory of estimates, point estimates and confidence limits, the average for the confidence interval
15Rates for the confidence intervals, standards deviations for the confidence intervals, the average between the confidence intervals, confidence intervals for differences beetween propotions and applied studies
16Final Exam
Recommended or Required Reading
Akdeniz, F. (1998). Olasılık ve İstatistik, Baki Kitabevi, Adana ERBAŞ, S.O.. (2007). Olasılık ve İstatistik, Ankara, 2007,2008,2011 Üçüncü baskı. Ankara. Gazi Kitabevi
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
SUM0
End Of Term (or Year) Learning ActivitiesQuantityWeight
SUM0
Yarıyıl (Yıl) İçi Etkinlikleri40
Yarıyıl (Yıl) Sonu Etkinlikleri60
SUM100
Language of Instruction
Turkish
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Attending Lectures16232
Self Study16232
Individual Study for Homework Problems5210
Individual Study for Mid term Examination21530
Individual Study for Final Examination12020
TOTAL WORKLOAD (hours)124
Contribution of Learning Outcomes to Programme Outcomes
PO
1
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2
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3
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4
PO
5
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6
PO
7
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8
PO
9
PO
10
PO
11
PO
12
PO
13
PO
14
PO
15
PO
16
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* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
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