COURSE UNIT TITLE

: STATISTICAL METHODS AND APLICATIONS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
EBE 5809 STATISTICAL METHODS AND APLICATIONS ELECTIVE 3 0 0 5

Offered By

Educational Administration and Supervision (Evening)

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR ALI AKSU

Offered to

Educational Administration and Supervision (Evening)

Course Objective

Explain the statistical methods and use these methods.

Learning Outcomes of the Course Unit

1   Define the importance and necessity of statistics in researches .
2   Define the necessity of use of the appropriate statistical anaylsis in researches.
3   List the basic terms related with statistics.
4   Apply the analysis related with descriptive statistics that can be necessary to solve the research problem .
5   Apply the simple correlation and regression analysis.
6   Interpret the data obtained through statistical analysis.
7   Report academically results of a research study.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 The definitions and the importance of statistics in research
2 The types of variables and the types of scales
3 The universe and sample, parameter and statistics
4 The symbol and some of its statistical features
5 Descriptive and inferential statistics
6 Percents and quartiles
7 The arrangement of the data, to list the data, frequency, graphics
8 Mid-term exam
9 The arrangement of the data, to list the data, frequency, graphics
10 Arithmetic mean and median
11 Mode, mean, median, and the relationship of them with mode
12 Percents and quartiles
13 The criteria for variables, range, the deviation of mean, variance, standard deviation, skewness and kurtosis
14 Standard scores, Simple linear regression
15 Final Exam

Recomended or Required Reading

1. Green, B. S., & Salkind, J. N. (2008). Using SPSS for Windows and Macintosh (5th ed.). New Jersey, Prentice Hall.
2. Köklü ve Büyüköztürk (2000). Sosyal Bilimler Için Istatistiğe Giriş. Ankara: PegemA Yayıncılık.
3. Tabacknick B. & Fidell L. (2001) Using Multivariate Statistics, 4th edn. Allyn and Bacon, Boston.
4. Tavşancıl E (2006). Tutumların Ölçülmesi ve SPSS ile Veri Analizi.Ankara: Nobel Yayınları

Planned Learning Activities and Teaching Methods

Explaining, question-answer, discussion, search

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 FINS FINAL EXAM
3 FCG FINAL COURSE GRADE MTE * 0.40 + FINS * 0.60
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + RST * 0.60


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

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Dr. Bahar BARAN
Dokuz Eylül Üniversitesi, Bilgisayar ve Öğretim Teknolojileri Eğitimi Bölümü
Hasan Ali Yücel Binası Kat: 3 No: 308
Buca/ Izmir

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 13 3 39
Preparation for midterm exam 1 10 10
Preparation for final exam 1 15 15
Preparing assignments 1 10 10
Preparing presentations 1 10 10
Final 1 1 1
Midterm 1 3 3
TOTAL WORKLOAD (hours) 127

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8
LO.153435335
LO.234542554
LO.342543354
LO.445235223
LO.524522353
LO.653544332
LO.752232352

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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