Information Package / Course Catalogue - Adnan Menderes University

General Information Unit Staff Academic Information Programme Outcomes Course Structure Diagram Contact Information

Person Responsible for Information Package

Prof. Engin ERTAN

Prof. Gonca GÜNVER DALKILIÇ

Prof. Halil Güner SEFEROĞLU

Prof. Uğur ŞİRİN

Prof. Zeynel DALKILIÇ

Lec. Burak Erdem ALGÜL

Lec. Gülsüm KARAKAYA

Lec. Mustafa ÇELİK

Statistics

Course Code	: ZT462
Course Type	: Required
Couse Group	: First Cycle (Bachelor's Degree)
Education Language	: Turkish
Work Placement	: N/A

Theory	: 2
Prt.	: 0
Credit	: 2
Lab	: 0
ECTS	: 3

Objectives of the Course

The objectives of this course are teaching the concept of elementary statistics and giving the skill of use of statistical methods for student to analyze raw data and interpret results.

Course Content

The course content include statistical reasoning, sampling and experimentation, descriptive statistics, probability theory and distributions, estimation, one sample and two sample hypothesis tests for means and ratios, regression and correlation analyses and one way analysis of variance (ANOVA).

Name of Lecturer(s)

Assoc. Prof. Onur YILMAZ

Learning Outcomes

1.	To gain the statistical point of view
2.	To be able to understand and use the probability distribution
3.	To acquire ability of the statistical inference
4.	To be able to write and test the hypothesis
5.	To be able to use statistical techniques and methods

Recommended or Required Reading

1.	Puskulcu, H., Ikiz, F., Eren, S. 2006. Introduction to Statistics. Baris Yayinlari. Fakulteler Kitabevi, Izmir.
2.	Atil, H. 1998, Statistics (in Turkish). Published by Faculty of Agriculture of Aegean University, No.531, Bornova, İzmir.
3.	Yildiz, N., Bircan, H., 2008. Applied Statistics (in Turkish). Nobel Press, Turkey. ISBN:9944770612

Weekly Detailed Course Contents

Week 1 - Theoretical

Introduction to statistical reasoning. Fundamental statistical terms

Week 2 - Theoretical

Descriptive statistics. Organizing and summarizing data: frequency tables and graphics.

Week 3 - Theoretical

Describing data with averages and describing variability

Week 4 - Theoretical

Basic concepts of probability theory. Probability distributions

Week 5 - Theoretical

Discrete probability distributions: binomial and poisson

Week 6 - Theoretical

Continuous probability distribution: normal distribution

Week 7 - Theoretical

Statistical inference: point and interval estimations

Week 8 - Theoretical

Large sample tests: z test to compare one population or two population mean or ratio

Week 9 - Theoretical

Small sample tests: t test for compare one sample, two independent samples and two related samples means.

Week 10 - Theoretical

Chi-Square (?2) tests

Week 11 - Theoretical

Hypothesis Testing

Week 12 - Theoretical

Relationships among variables: linear regression analysis

Week 13 - Theoretical

Relationships among variables: correlation analysis

Week 14 - Theoretical

Anaysis of Variance (ANOVA) for one factor

Assessment Methods and Criteria

Type of Assessment	Count	Percent
Midterm Examination	1	%40
Final Examination	1	%60

Workload Calculation

Activities	Count	Preparation	Time	Total Work Load (hours)
Lecture - Theory	14	1	2	42
Midterm Examination	1	14	1	15
Final Examination	1	17	1	18
TOTAL WORKLOAD (hours)				75

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	PÇ-10	PÇ-11
OÇ-1	1	1			5	3	3	5
OÇ-2					5	1	3	5
OÇ-3					5		3	5
OÇ-4					5		3	5
OÇ-5					5		3	5