Iğdır 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
ZOO-23-115		Elective	1	2	6

Level of Course Unit

Second Cycle

Objectives of the Course

The aim of this course is to enable students to recognize the nonparametric techniques used in the analysis of data based on some assumptions in cases where the population parameter from which the sample is taken is not known or a specific distribution assumption cannot be made.

Name of Lecturer(s)

Doç. Dr. Cem Tırınk

Learning Outcomes

1	Basic Knowledge of Statistical Concepts
2	To Distinguish the Measurement Levels of Variables
3	Hypothesis Tests Concept Knowledge
4	Knowledge of Classifying Nonparametric Tests into One, Two, and More Than Two Sample Tests
5	To have the ability to benefit from a computer package program for statistical analysis.

Mode of Delivery

Daytime Class

Prerequisites and co-requisities

None

Recommended Optional Programme Components

None

Course Contents

Basic Statistical Concepts, Measuring Levels of Variables, Goodness of Fit Tests, Nonparametric Tests for a Single Sample, Nonparametric Tests for Two Independent Samples, Non-Parametric Tests for Two Dependent Samples, Chi-Square Tests, Non-Parametric Tests for More Than Two Independent Samples,

Weekly Detailed Course Contents

Week	Theoretical	Practice	Laboratory
1	Introduction: Aim, Content and references. Basic Statistical Concepts
2	Measurement Levels of Variables. Hypothesis Testing Concept.
3	Introducing the SPSS package program
4	t and chi-square test	Application with SPSS package program
5	Goodness of fit tests: Chi-square Goodness of Fit Test, Kolmogorov- Smirnov Goodness of Fit Test	Application with SPSS package program
6	Test for Homogeneity of Variances: Levene Test	Application with SPSS package program
7	One sample nonparametric tests: Binomial Test, Sign Test. Wilcoxon Signed Rank Test, Run Test	Application with SPSS package program
8	Midterm exam
9	Two Independent Sample Tests: Tests Related to Location: Median Test, Mann Whitney	Application with SPSS package program
10	Kolmogorov Smirnov Test, Fisher Exact Test, Tests Related to Dispersion: Mood Test	Application with SPSS package program
11	Two Dependent Sample Nonparametric Tests: Sign Test, Wilcoxon Signed Rank Test, McNemar Test. Chi-Square tests for independence and homogeneity	Application with SPSS package program
12	Observations with Equal Values, Multiple Comparisons	Application with SPSS package program
13	Tests for More Than Two Independent Samples: Median Test, Kruskal – Wallis H Test, Sampling Distribution of H Statistic	Application with SPSS package program
14	Tests for More Than Two Dependent Samples: Friedman’s S Test: Sampling Distribution of S Statistic, Observations with Equal Values, Multiple Comparisons	SPSS package program applications

Recommended or Required Reading

Hamza Gamgam, Bülent Antunkaynak, “SPSS Uygulamalı Parametrik Olmayan Yöntemler”, Seçkin Yayıncılık, 4. Baskı, 2012 Yardımcı Kaynak: Wayne W. Daniel, “Applied Nonparametric Statistics”, Houghton Mifflin, 1978.

Planned Learning Activities and Teaching Methods

Assessment Methods and Criteria

Term (or Year) Learning Activities	Quantity	Weight
Midterm Examination	1	100
SUM		100
End Of Term (or Year) Learning Activities	Quantity	Weight
Final Examination	1	100
SUM		100
Term (or Year) Learning Activities		40
End Of Term (or Year) Learning Activities		60
SUM		100

Language of Instruction

Turkish

Work Placement(s)

None

Workload Calculation

Activities	Number	Time (hours)	Total Work Load (hours)
Midterm Examination	1	2	2
Final Examination	1	2	2
Attending Lectures	14	3	42
Individual Study for Mid term Examination	1	35	35
Individual Study for Final Examination	1	55	55
Reading	14	3	42
TOTAL WORKLOAD (hours)			178

Contribution of Learning Outcomes to Programme Outcomes

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

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