Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

INSTITUTE OF SOCIAL SCIENCES / SKİÖ 524 - HEALTH MANAGEMENT (NON-THESIS MASTER)

Code: SKİÖ 524 Course Title: STATISTICS Theoretical+Practice: 3+0 ECTS: 6
Year/Semester of Study 2 / Fall Semester
Level of Course 2nd Cycle Degree Programme
Type of Course Optional
Department HEALTH MANAGEMENT (NON-THESIS MASTER)
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer AYLİN ALKAYA (aylin@nevsehir.edu.tr)
Name of Lecturer(s)
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
The first goal of this course is to teach the methods of statistics to students. Using statistical package program to analyze data and reporting the results. Students conduct survey research to learn research analysis techniques. Introducing the necessary tools to implement statistical methods and develop further the understanding of assumptions and limitations.

Learning Outcomes PO MME
The students who succeeded in this course:
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
Definition and methodology of statistics, collecting and presenting data, series, graphics. definition and kinds of variables, scaling of variables and determination of scales. Collecting the data methods. Questionnaire survey method. Sampling. Introducing the statistical package program. Data entry, data definition. Graph and table introducing. Confidence intervals. Hypothesis tests. Correlation coefficient. Chi-square analysis. ANOVA.
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Introduction to statistics, basic concepts, statistic, population, parameter, variable, data
2 Gathering data, classifying, graphical representations, frequency distributions, pie and bar charts, time series charts, scatter diagrams, histograms, frequency poligons.
3 ata collection methods. Questionnaire survey method. Sampling.
4 Introducing the statistical package program. Data entry, data definition.
5 Plot and table introduction.
6 Confidence intervals.
7 Confidence intervals.
8 mid-term exam
9 Hypothesis tests.
10 Chi-square analysis.
11 Chi-square analysis.
12 Nonparametric tests
13 Nonparametric tests
14 ANOVA
15 ANOVA
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 “Bilimsel Araştırma Süreci ve SPSS İle Veri Analizi” A., URAL, İ., KILIÇ
2 “SPSS Uygulamalı Çok Değişkenli İstatistik Teknikler” Editör: Doç. Dr. Şeref KALAYCI
Required Course instruments and materials
Statistics Books, Textbook, Blackboard, computer and software

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 1 3 40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam 2 3
4.Presentation
5.Report
6.Workshop
7.Performance Project
8.Term Paper
9.Project
final exam 1 3 60

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 3 14 42
Outside Class
       a) Reading 4 6 24
       b) Search in internet/Library 4 5 20
       c) Performance Project 3 5 15
       d) Prepare a workshop/Presentation/Report 0
       e) Term paper/Project 3 10 30
Oral Examination 0
Quiz 0
Laboratory exam 3 2 6
Own study for mid-term exam 0
mid-term exam 3 1 3
Own study for final exam 3 10 30
final exam 3 1 3
0
0
Total work load; 173