Information Package / Course Catalogue
Statistics II
Course Code: EK106
Course Type: Required
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

To provide the students make statistical inferences about a population by using the sample from that population.

Course Content

Goodness of fit test, point estimation, interval estimation, test of hypothesis, analysis of variance.

Name of Lecturer(s)
Lec. Mesut ÇAKIR
Learning Outcomes
1.To be able to interpret the results of hypothesis tests for population mean, population variance and population proportion
2.To understand coefficient of determination and correlation coefficient
3.To learn estimators and the properties of the estimators
4.To be able to apply goodness of fit tests
5.Obtaining moments of random variables
Recommended or Required Reading
1.Şenol, S., “Çıkarsamalı İstatistik”, Nobel Yayın Dağıtım
2.Applied Statistics, J. Neter, W. Wasserman, G.A. Whiıtmore, Simon & Schuster, Inc., 4th ed.
Weekly Detailed Course Contents
Week 1 - Theoretical
Course definition, contents and references
Week 2 - Theoretical
Chi square distribution, F distribution and t distribution
Week 3 - Theoretical
Chi square tests (Goodness of fit tests)
Week 4 - Theoretical
Statistical estimation (Estimation, estimators and properties of estimators, maximum likelihood estimators, method of moments estimators)
Week 5 - Theoretical
Interval estimation (Confidence interval for population mean, confidence interval for differences of means)
Week 6 - Theoretical
Interval estimation (Confidence interval for population variance, confidence interval for ratio of variances, confidence interval for population proportion, confidence interval for differences of population proportions)
Week 7 - Theoretical
Test of hypothesis (Types of error, test of hypothesis for population mean)
Week 8 - Theoretical & Practice
Test of hypothesis (Types of error, test of hypothesis for population mean)
Week 9 - Theoretical
Test of hypothesis (Comparison of two population means, test of hypothesis for population variance)
Week 10 - Theoretical
Test of hypothesis (Test of hypothesis for population proportion)
Week 11 - Theoretical
Analysis of variance (Oneway)
Week 12 - Theoretical
Test for homogeneity of variances (Bartlett Test)
Week 13 - Theoretical
Regression (Simple linear regression, estimation of regression parameters)
Week 14 - Theoretical
Regression (Test of hypothesis and confidence intervals for regression parameters, analysis of variance)
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142370
Individual Work73235
Midterm Examination1819
Final Examination110111
TOTAL WORKLOAD (hours)125
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
OÇ-1
4
3
4
3
5
5
3
3
3
OÇ-2
3
4
3
4
3
5
4
4
4
OÇ-3
4
4
4
5
5
5
5
4
4
OÇ-4
4
3
5
5
3
5
4
4
4
OÇ-5
Adnan Menderes University - Information Package / Course Catalogue
2026