COURSE UNIT TITLE

: STATISTICAL RESEARCH METHODOLOGY - II

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
STA 5060 STATISTICAL RESEARCH METHODOLOGY - II ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

Offered to

Statistics (English)
STATISTICS (ENGLISH)
Statistics (English)

Course Objective

Understand basic probability distributions and data management, data exploration, and descriptive and inferential statistics. Apply and comment to statistical analysis.

Learning Outcomes of the Course Unit

1   Able to tests of hypothesis
2   Describing the simple linear regression
3   Perform to analysis of independence and normality
4   Perform to analysis of variance
5   Comment to the results of analysis

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Basic concepts related to Hypothesis tests
2 Tests of Hypothesis: One Sample
3 Tests of Hypothesis: Two Samples
4 Confidence intervals, homework1
5 Introduction to regression analysis
6 Basic linear regression
7 Coefficient of correlation and correlation analysis
8 Midterm exam
9 Chi- square goodness of fit test Chi-square independence test
10 Kolmogorov-Smirnov and Lilliefors Normality tests
11 Introduction to the Analaysis of Variance
12 Analaysis of Variance: One-way ANOVA
13 Multiple comparisons tests, homework2
14 A general review

Recomended or Required Reading

Textbook(s):
1. McClave J.T., Sincich T., Statistics, 11th edition, Prentice Hall,USA, 2008
2. Ryan,B., Joiner, B.L. & Cryer, J.D., MINITAB Handbook, 5th edition, Brooks/Cole - Thomson Learning Inc, Duxbury, Canada, 2005
Supplementary Book(s):
Materials:

Planned Learning Activities and Teaching Methods

Lecture, homework and problem solving.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.40 +ASG * 0.10 +FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 +ASG * 0.10 +RST * 0.50


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

If the instructor needs to add some explanation or further note, this column can be selected from the DEBIS menu.

Assessment Criteria

Evaluation of homework and exams.

Language of Instruction

English

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://www.fbe.deu.edu.tr.

Contact Details for the Lecturer(s)

DEU Fen Fakültesi Istatistik Bölümü
e-mail: cengiz.celikoglu@deu.edu.tr
Tel: 0232 301 85 50

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 1 14
Preparation for midterm exam 1 45 45
Preparation for final exam 1 55 55
Preparing assignments 2 15 30
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 190

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.1555
LO.2555
LO.3555
LO.4555
LO.5555

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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