Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

FACULTY OF ECONOMICS & ADMINISTRATIVE SCIENCES / KMY 335 - PUBLIC ADMINISTRATION

Code: KMY 335 Course Title: APLLIED STATISTICS Theoretical+Practice: 3+0 ECTS: 4
Year/Semester of Study 3 / Fall Semester
Level of Course 1st Cycle Degree Programme
Type of Course Optional
Department PUBLIC ADMINISTRATION
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer VOLKAN RECAİ ÇETİN (vcetin@nevsehir.edu.tr)
Name of Lecturer(s)
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
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:
LO-1 Acknowledge the place and the importance of statistics in the field of social sciences . PO-4 Gain ability to adaptate oneself to technologic innovations and use the maximum level of information technologies in order to make managerial decision-making and implementation process more efficient in terms of time and resources;
PO-5 Have ability to collect data, analyze and interpret the results via utilizing accumulation of information and interdisciplinary point of view while identifying and solving existing public administration problems;
PO-6 Gain ability to apply research methods and techniques in the social disciplines;
Examination
LO-2 Using statistical package program to learn data analysis. PO-4 Gain ability to adaptate oneself to technologic innovations and use the maximum level of information technologies in order to make managerial decision-making and implementation process more efficient in terms of time and resources;
PO-5 Have ability to collect data, analyze and interpret the results via utilizing accumulation of information and interdisciplinary point of view while identifying and solving existing public administration problems;
PO-6 Gain ability to apply research methods and techniques in the social disciplines;
Examination
LO-3 Learn to conduct statistical methods and to comment solutions. PO-4 Gain ability to adaptate oneself to technologic innovations and use the maximum level of information technologies in order to make managerial decision-making and implementation process more efficient in terms of time and resources;
PO-5 Have ability to collect data, analyze and interpret the results via utilizing accumulation of information and interdisciplinary point of view while identifying and solving existing public administration problems;
PO-6 Gain ability to apply research methods and techniques in the social disciplines;
Examination
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
Basic Content of Statistics. Subject of statistics and basic concepts: unit, population and variable; 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. Regression Analysis.
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Basic Content of Statistics. Representing subjects. Question and answer. Solving problems technique.
2 Subject of statistics and basic concepts: unit, population and variable; definition and kinds of variables, scaling of variables and determination of scales. Representing subjects. Question and answer. Solving problems technique.
3 Data collection methods. Questionnaire survey method. Sampling. Representing subjects. Question and answer. Solving problems technique.
4 Introducing the statistical package program. Data entry, data definition. Representing subjects. Question and answer. Solving problems technique. Computer application.
5 Plot and table introduction. Forming table and graph. Question and answer. Solving problems technique. Computer application.
6 Confidence intervals. Representing subjects. Question and answer. Solving problems technique. Computer application.
7 Confidence intervals. Representing subjects. Question and answer. Solving problems technique. Computer application.
8 mid-term exam
9 Hypothesis tests. Representing subjects. Question and answer. Solving problems technique. Computer application.
10 Chi-square analysis. Representing subjects. Question and answer. Solving problems technique. Computer application.
11 Nonparametric tests Representing subjects. Question and answer. Solving problems technique. Computer application.
12 Variance analysis. Representing subjects. Question and answer. Solving problems technique. Computer application.
13 Correlation coefficients. Representing subjects. Question and answer. Solving problems technique. Computer application.
14 Regression Analysis. Representing subjects. Question and answer. Solving problems technique. Computer application.
15 Regression Analysis. Representing subjects. Question and answer. Solving problems technique. Computer application.
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 “Bilimsel Araştırma Süreci ve SPSS İle Veri Analizi” A., URAL, İ., KILIÇ
2 “Paket Programlar ile İstatistiksek Veri Analizi-I” Prof. Dr. Kazım ÖZDAMAR
Required Course instruments and materials
Textbook, Blackboard, computer and software

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 8 1 40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation
5.Report
6.Workshop
7.Performance Project
8.Term Paper 16 1 60
9.Project
final exam

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 3 8 24
       b) Search in internet/Library 3 10 30
       c) Performance Project 0
       d) Prepare a workshop/Presentation/Report 0
       e) Term paper/Project 0
Oral Examination 0
Quiz 0
Laboratory exam 0
Own study for mid-term exam 1 7 7
mid-term exam 1 1 1
Own study for final exam 1 7 7
final exam 1 1 1
0
0
Total work load; 112