Ordu University Lifelong Learning Programme

Description of Individual Course Units

Course Unit Code	Course Unit Title	Type of Course Unit	Year of Study	Semester	Number of ECTS Credits
ZT621	STATISTICAL TESTS WITH COMPUTER APLICATIONS	Compulsory	1	2	6

Level of Course Unit

Second Cycle

Objectives of the Course

Learning of basic statistical tests with computer applications,Scientific research technique and Scientific ethics

Name of Lecturer(s)

Assist.Prof.Dr.Yeliz KAŞKO ARICI

Learning Outcomes

1	Relevant and accurate statistical methods to be elected
2	Ability to understand and apply basic statistical methods
3	Analyze data with popular statistical software package
4	To interpret the results of statistical analysis
5	learn sufficient statistics methods to evaluate the thesis or research
6	Understanding of the results of scientific studies
7	Scientific research technique and Scientific ethics

Mode of Delivery

Formal Education

Prerequisites and co-requisities

None

Recommended Optional Programme Components

None

Course Contents

Introduction to statistics, Basic principle of statistics, Collection of data, Type of data and summarizing, Descriptive statistics, Graphs, Relationship between two variables (correlation analysis and regression analysis), Hypothesis testing (Z-test, t-test), Basic concepts of experimental design, Analysis of variance technique (ANOVA), Multiple comparison tests, Chi-square tests , Computer applications with statistical package programs (Minitab, SPSS).

Weekly Detailed Course Contents

Week	Theoretical	Practice	Laboratory
1	The importance of statistics, Fundamentals of statistics, Type of data, Minitab, SPSS
2	Descriptive statistics	problem solving and computer applications
3	Statistical distributions, Probability
4	Testing of hypothesis
5	Z-tests	problem solving and computer applications
6	t-test	problem solving and computer applications
7	Paired t-test	problem solving and computer applications
8	Graphics	computer applications
9	Midterm Exam
10	Basic concepts of experimental design
11	ANOVA, The assumptions of ANOVA	problem solving and computer applications
12	Multiple comparison tests	problem solving and computer applications
13	Correlation and Regression analysis	problem solving and computer applications
14	Chi-Square- tests	problem solving and computer applications
15	Scientific research technique and Scientific ethics	problem solving and computer applications
16	Final Exam

Recommended or Required Reading

Kocabaş, Z., Özkan, M. Ve Başpınar, E., 2013. Temel Biyometri. Ankara Üniversitesi Ziraat Fakültesi Yayınları, Yayın No:1606, Ankara. Mendeş, M., 2012, Uygulamalı Bilimler İçin İstatistik ve Araştırma Yöntemleri. Kriter Yayınları, İstanbul. Sokal R. R. and Rohlf F. J., 1995. Biometry (Third Edition). W. H. Freeman and Company, New York, USA.

Planned Learning Activities and Teaching Methods

Assessment Methods and Criteria

Term (or Year) Learning Activities	Quantity	Weight
SUM		0
End Of Term (or Year) Learning Activities	Quantity	Weight
SUM		0
Yarıyıl (Yıl) İçi Etkinlikleri		40
Yarıyıl (Yıl) Sonu Etkinlikleri		60
SUM		100

Language of Instruction

Turkish

Work Placement(s)

None

Workload Calculation

Activities	Number	Time (hours)	Total Work Load (hours)
Midterm Examination	1	3	3
Final Examination	1	3	3
Makeup Examination	1	3	3
Quiz	8	1	8
Practice	14	2	28
Laboratory	14	2	28
Problem Solving	14	1	14
Individual Study for Homework Problems	14	3	42
Individual Study for Mid term Examination	8	2	16
Individual Study for Final Examination	14	2	28
TOTAL WORKLOAD (hours)			173

Contribution of Learning Outcomes to Programme Outcomes

	PO 1	PO 2	PO 3	PO 4	PO 5	PO 6	PO 7
LO1		3			2
LO2
LO3					3
LO4		3			2
LO5	3	4			2
LO6	3	4	4		2
LO7				3

* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High