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FACULTY of SCIENCE / DEPARTMENT of MATHEMATICS

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MAT2006Probability and Statistics II4+0+0ECTS:6
Year / SemesterSpring Semester
Level of CourseFirst Cycle
Status Compulsory
DepartmentDEPARTMENT of MATHEMATICS
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face
Contact Hours14 weeks - 4 hours of lectures per week
LecturerDr. Öğr. Üyesi Elif BAŞKAYA
Co-LecturerPROF. DR. Tülay KESEMEN,
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
The aim of the course is to describe how to estimate meters of the population and to test the hypothesis about parameters
 
Learning OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
LO - 1 : apply statistical estimation techniques(statiscal hypothesis testing, confidence interval estimation) to solve problems1,2,3,4,5,6,7,81
LO - 2 : apply Chi-Square tests to solve statistical problems1,2,3,4,5,6,7,81
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome

 
Contents of the Course
Sampling theory and sample selection, arrangement of data and analyzing, the central limit theory, distribution theory, variation, .... sampling distributions and estimation, interval estimation (for the mean of the population), interval estimation (for the variance of the population), problems and introduction to hypothesis, hypothesis test about mean of the population, hypothesis test about variance of the population, importance of the Chi-square tests, problem solutions, confidence interval for the parameters and hypothesis tests,
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Sample (Sample Selection)
 Week 2Data Sorting and Analysis (Frequency Distribution, Graphical Demonstration, Measures of Central Tendancy)
 Week 3Data Sorting and Analysis (Distribution Measures, Variation Coefficient)
 Week 4Sample Distribution (Some Properties of Mean and Variance) and Estimation
 Week 5Interval Estimation for the Difference of Means of Two Masses
 Week 6Interval Estimation for the Ratio of Variances of Two Masses
 Week 7Interval Estimation for the Binomial Parameter p
 Week 8Statistical Inference: Introduction to Hypothesis Testing
 Week 9Mid-term
 Week 10Testing of Simple Hypothesis
 Week 11Hypothesis Testing for the Mean of a Mass with Normal Distribution and Known Variance
 Week 12Hypothesis Testing for the Means of Two Masses with Normal Distribution
 Week 13Hypothesis Testing for the Parameter p of Binomial Distribution
 Week 14Hypothesis Testing for the Difference of Two Binomial Parameters
 Week 15Significance tests with Chi-Square
 Week 16Final Exam
 
Textbook / Material
1Fikri AKDENİZ ?Olasılık ve İstatistik? Nobel Kitabevi, ADANA (2007)
 
Recommended Reading
1Aytaç,M. "Matematiksel İstatistik" (1991) Ezgi Kitabevi Bursa
2Akdi.Y. "Matematiksel İstatistiğe Giriş"(2005) Bıçaklar Kitabevi Ankara
3Devore,J. L. "Probability and Statistics" (200) Duxbury Thomson Learning
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 8 10/11/2019 2 50
End-of-term exam 15 06/01/2019 2 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 4 14 56
Sınıf dışı çalışma 6 14 84
Arasınav için hazırlık 12 1 12
Arasınav 1.5 1 1.5
Kısa sınav 1.5 1 1.5
Dönem sonu sınavı için hazırlık 18 1 18
Dönem sonu sınavı 2 1 2
Total work load175