COURSE UNIT TITLE

: STATISTICAL PACKAGE PROGRAMS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MSH 0154 STATISTICAL PACKAGE PROGRAMS ELECTIVE 3 0 0 4

Offered By

Efes Vocational School

Level of Course Unit

Short Cycle Programmes (Associate's Degree)

Course Coordinator

DOCTOR HAKAN SÖNMEZ

Offered to

Tourism and Hotel Management
Cultural Heritage and Tourism
Civil Aviation and Cabin Services
Civil Aviation Transportation Management
Food Technology

Course Objective

The aim of this course is to gain the necessary competencies for analyzing, interpreting and reporting statistical data by using the correct data analysis techniques with the help of package programs in the fields required by business life and academic studies.

Learning Outcomes of the Course Unit

1   Learn statistical data collection tools and methods.
2   It processes the data collected for a scientific research on the computer.
3   Decides the right data analysis technique and analyzes the statistical data.
4   Reports and reports the obtained statistical results.
5   Uses the statistical package program effectively for data 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 of qualitative and quantitative research methods: data, parameter, variable, data collection tools, statistical series types, variable types, data types, scale types, survey design, classification of statistical methods and selection process of the appropriate method.
2 Introduction to SPSS: SPSS general introduction, basic commands.
3 Editing data in SPSS package program, coding, labeling and entering data in SPSS.
4 Introducing the menus of the SPSS package program.
5 Data entry, data file creation and saving in SPSS package program.
6 Calculation of descriptive statistics in SPSS package program, frequency tables, cross tables, mean, median, kurtosis, skewness and graphical display of data.
7 Hypothesis testing, normality analysis in SPSS package program.
8 Mid-Term Exam.
9 Parametric tests in SPSS package program: Single sample t-test, independent sample t-test, paired sample t-test, z test, ANOVA test.
10 Nonparametric tests in SPSS package program: Chi-square test, Chi-square homogeneity test, Chi-square independence test, Chi-square goodness of fit test, Man Whitney U test, Kruskal Wallis H test, Wilcoxon test.
11 Analysis of variance in SPSS package program: one-way analysis of variance, two-way analysis of variance.
12 Correlation analysis, reliability analysis in SPSS package program, Factor analysis in SPSS.
13 Simple linear regression analysis, multiple linear regression analysis in SPSS package program.
14 General evaluation and interpretation of SPSS program outputs.
15 General evaluation and interpretation of SPSS program outputs.
16 Final Exam.

Recomended or Required Reading

Textbook(s):
1. Kalaycı, Ş., SPSS Uygulamalı Çok Değişkenli Istatistik Teknikleri, Asil Yayın Dağıtım, Ankara, 2005.
2. Akgül A. ve Çevik, O., Istatistiksel Analiz Teknikleri, Emek Ofset, Ankara, 2005.

Supplementary Books:
1. Özdamar, K., SPSS ile Biyoistatistik Yenilenmiş 5. baskı Kaan Kitabevi, Eskisehir, 2003.
2. Akgül, A., Tıbbi Araştırmalarda Istatistiksel Analiz Teknikleri, SPSS Uygulamaları, Ikinci Baskı, Emek Ofset Ankara, 2003.
3. Vasfi Nadir TEKIN, SPSS uygulamalı Istatistik Teknikleri, Seçkin Yayınları,2003.
4. Nuran BAYRAM, Sosyal Bilimlerde SPSS ile veri analizi, Ezgi Yayınevi, 2006.
5. Büyüköztürk, Ş., Sosyal bilimler için veri analizi el kitabı: Araştırma deseni SPSS uygulamaları ve yorum. Ankara, PegemA yayıncılık, 2010.
6. Grimm, L.G., Statistical application for the behavioral science, New York: John Wiley and Sons Inc, 1993.
7. Mann, P.S., Introductory statistics. New York: John Wiley and Sons Inc, 1992.

Planned Learning Activities and Teaching Methods

Face to face expression technique in the classroom, discussion, reading research, classroom applications, student presentations.

Assessment Methods

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


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

Further Notes About Assessment Methods

None

Assessment Criteria

There will be held on two in class exams; midterm exam and final exam during the semester.
Grades: 50 % Midterm Exam, 50 % Final Exam, 50 % Make up Exam.

Language of Instruction

Turkish

Course Policies and Rules

1) Attending at least 70 percent of lectures and fulfill the requirements of the course are mandatory.
2) Plagiarism of any type will result in disciplinary action.

Contact Details for the Lecturer(s)

hakan.sonmez@deu.edu.tr

Office Hours

Wednesday, 09:30 - 12:00, Ground Floor, No: Z-08, Efes Vocational School, Selçuk / IZMIR.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 3 36
Preparation about subject 12 1 12
Student Presentations 6 2 12
Preparation for midterm exam 1 12 12
Preparation for final exam 1 12 12
Preparing presentations 6 1 6
Reading 6 1 6
In-class practices 12 1 12
Midterm 1 2 2
Final 1 2 2
TOTAL WORKLOAD (hours) 112

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15PO.16
LO.133
LO.245
LO.35
LO.445
LO.5445

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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