COURSE UNIT TITLE

: NONPARAMETRIC STATISTICAL METHOD

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IST 4031 NONPARAMETRIC STATISTICAL METHOD COMPULSORY 3 0 0 5

Offered By

Statistics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASISTANT PROFESSOR ENGIN YILDIZTEPE

Offered to

Statistics
Statistics(Evening)

Course Objective

This course aims to introduce nonparametric statistical methods which are used widely. To learn basic concepts and to use nonparametric tests in place of their parametric. To make students to learn alternative methods of data analysis.

Learning Outcomes of the Course Unit

1   Apply statistical methods to data obtained from a single sample.
2   Apply statistical methods using data obtained from two independent samples.
3   Apply statistical methods to data obtained from a two dependent samples.
4   Apply statistical methods to data obtained from three or more independent samples.
5   Apply statistical methods to data obtained from three or more dependent samples.
6   Apply chi-square tests of independence and homogeneity.
7   Apply goodness of fit test.
8   Calculate measures of association.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction and Review
2 Tests for a single location parameter; Making inferences about a location parameter: Sign Test-Wilcoxon Signed-Ranks Test Making inferences about a population proportion: Binomial test A runs test for randomness
3 Methods for two independent samples; Making inferences about the differences between two location parameters: Median test - Mann-Whitney Test
4 Methods for two independent samples; Making inferences about the equality of two dispersion parameters: Ansari-Bradley Test - Moses Test
5 Methods for paired samples; Sign Test for two related samples, Wilcoxon Matched-Pairs Signed-Ranks Test, McNemar Test for two related samples
6 Chi-Suare Tests for Independence
7 Chi-Suare Tests for Homogenity
8 Midterm exam
9 Three or more independent samples; Extension of the median test, Kruskal-Wallis one-way analysis of variance by ranks
10 Three or more independent samples; Jonckheere-Terpstra test for ordered alternatives, Multiple comparisons
11 Three or more related samples; Friedman two-way analysis of variance by rank, Multiple-Comporison procedure for use with Friedman Test
12 Three or more related samples; Page s Test for Ordered Alternatives, Cochran s Test for related observations
13 Chi-square goodness-of-fit test, Kolmogorov-Smirnov one-sample test, Kolmogorov-Smirnov two-sample test
14 Spearman rank correlation coefficient, Kendall s coefficient of concordance W, Kendall s tau

Recomended or Required Reading

Textbook(s):
Daniel, W.W., (1990). 2nd Ed. Applied Nonparametric Statistics. PWS-KENT Publishing Company.

Supplementary Book(s):
Seprent, P. & Smeeton, N.C., (2000). 3th Edition. Applied Nonparametric Statistical Methods. Chapman&Hall/CRC
Lehmann, E.L., (1998) Nonparametrics Statistical Methods Based on Ranks. Prentice-Hall Inc.
Conover, W.J., (1980). 2nd Edition. Practical Nonparamteric Statistics. John Wiley & Sons.

Planned Learning Activities and Teaching Methods

Lecture, class discussion, homeworks.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FINS FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + ASG * 0.20 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + ASG * 0.20 + RST * 0.50

Further Notes About Assessment Methods

None

Assessment Criteria

Evaluation of Homeworks and Exams

Language of Instruction

Turkish

Course Policies and Rules

Attendance to at least 70% for the lectures is an essential requirement of this course and is the responsibility of the student. It is necessary that attendance to the lecture and homework delivery must be on time. Any unethical behavior that occurs either in presentations or in exams will be dealt with as outlined in school policy. You can find the undergraduate policy at http://web.deu.edu.tr/fen

Contact Details for the Lecturer(s)

Department of Statistics
e-mail: engin.yildiztepe@deu.edu.tr
Phone: 0232 301 85 63

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparations before/after weekly lectures 12 1 12
Preparation for midterm exam 1 20 20
Preparation for final exam 1 30 30
Preparing assignments 2 4 8
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 113

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14
LO.153423
LO.253423
LO.353423
LO.453423
LO.553423
LO.653423
LO.753423
LO.853423

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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