# COURSE UNIT TITLE

: STATISTICAL METHODS AND APPLICATIONS OF STATISTIC

#### Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
EBE 5503 STATISTICAL METHODS AND APPLICATIONS OF STATISTIC ELECTIVE 3 0 0 5

#### Offered By

Institute Of Education Sciences

#### Level of Course Unit

Second Cycle Programmes (Master's Degree)

#### Offered to

Curriculum and Instruction Non-Thesis
Family Education and Counselling Non-Thesis
Curriculum and Instruction Non-Thesis

#### Course Objective

Explain the statistical methods and use these methods.

#### Learning Outcomes of the Course Unit

 1 Define the importance of statistics in research . 2 Define the necessity of the appropriate use of statistical applications in research. 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 Explain and apply how and with which techniques to analyze the data . 7 Interpret the data obtained through statistical analysis. 8 Determine how to report an academic study.

Face -to- Face

None

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

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

#### Assessment Methods

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

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

None

#### Assessment Criteria

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

Turkish

To be announced.

To be announced.

To be announced.

#### Work Placement(s)

None

 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 15 15 Final 1 1 1 Midterm 1 3 3 TOTAL WORKLOAD (hours) 132

#### Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.12333333344
LO.25555555555
LO.34555444433
LO.44444444444
LO.53444343333
LO.61122222544
LO.73443333444
LO.84545444544