Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

FACULTY OF EDUCATION / FBÖ 307 - ELEMENTARY SCIENCE TEACHING

Code: FBÖ 307 Course Title: STATISTICS Theoretical+Practice: 2+0 ECTS: 4
Year/Semester of Study 3 / Fall Semester
Level of Course 1st Cycle Degree Programme
Type of Course Compulsory
Department ELEMENTARY SCIENCE TEACHING
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer OKTAY KIZKAPAN (okizkapan@nevsehir.edu.tr)
Name of Lecturer(s)
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
This course will focus on understanding statistical concepts and on interpreting and communicating the results of a statistical analysis. It is designed to develop a basic understanding of descriptive and inferential statistics.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 can calculate mean, median and mode. PO-1 Having the knowledge of teaching programs, teaching strategies, measurement and assessment methods related to the field.
PO-8 Ability to assess student achievements using different techniques and methods.
PO-12 Ability to evaluate critically the acquired knowledge and skills.
PO-13 Using the effective ways of attaining knowledge.
Examination
LO-2 can interpret descriptive statistics on scientific researches. PO-4 Conceptualization of events and facts about the area, using scientific methods and techniques to solve problems.
PO-8 Ability to assess student achievements using different techniques and methods.
PO-12 Ability to evaluate critically the acquired knowledge and skills.
Examination
LO-3 can apply simple correlation analysis. PO-8 Ability to assess student achievements using different techniques and methods.
PO-12 Ability to evaluate critically the acquired knowledge and skills.
PO-14 Sharing ideas and solutions to problems by supporting data with specialist and non-specialist.
Examination
LO-4 can apply hypothesis tests. PO-8 Ability to assess student achievements using different techniques and methods.
PO-14 Sharing ideas and solutions to problems by supporting data with specialist and non-specialist.
Examination
LO-5 can create graphics for data distribution. PO-1 Having the knowledge of teaching programs, teaching strategies, measurement and assessment methods related to the field.
PO-2 Having the knowledge about the nature, source, limit, accuracy, validity and reliability of knowledge
PO-4 Conceptualization of events and facts about the area, using scientific methods and techniques to solve problems.
PO-16 Ability to use information and communication technologies in science teaching.
Examination
Performance Project
LO-6 can explain the basic concepts of statistic. PO-1 Having the knowledge of teaching programs, teaching strategies, measurement and assessment methods related to the field.
PO-4 Conceptualization of events and facts about the area, using scientific methods and techniques to solve problems.
PO-12 Ability to evaluate critically the acquired knowledge and skills.
PO-13 Using the effective ways of attaining knowledge.
Examination
LO-7 can calculate measures of variability. PO-1 Having the knowledge of teaching programs, teaching strategies, measurement and assessment methods related to the field.
PO-2 Having the knowledge about the nature, source, limit, accuracy, validity and reliability of knowledge
PO-4 Conceptualization of events and facts about the area, using scientific methods and techniques to solve problems.
PO-12 Ability to evaluate critically the acquired knowledge and skills.
Examination
Performance Project
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
Introduction to statistic and basic concepts of statistics; descriptive statistics (measurements of central accumulation- circulation), estimation of the population parameter ( Standard deviation and confidence intervals); concepts of correlation and hypothesis tests, deciding; difference tests; chi-square analysis; Probability and standard normal probability distribution; Z and T scores, skewness and kurtosis coefficients.
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Introduction to statistic and basic concepts of statistics Lecture,Question-Answer,Discussion
2 Introduction to statistic and basic concepts of statistics Lecture,Question-Answer,Discussion
3 Frequency ranges Lecture,Question-Answer,Discussion
4 Showing datas with graphs Lecture,Question-Answer,Discussion
5 Measures of central tendency Lecture,Question-Answer,Discussion
6 Variability measurements Lecture,Question-Answer,Discussion
7 Z and T scores calculation, skewness and kurtosis coefficients Lecture,Question-Answer,Discussion
8 mid-term exam
9 Probability and standard normal probability distribution. Lecture,Question-Answer,Discussion
10 Concepts of correlation and techniques of alternative correlation Lecture,Question-Answer,Discussion
11 Concepts of correlation and techniques of alternative correlation Lecture,Question-Answer,Discussion
12 Hypothesis tests, deciding Lecture,Question-Answer,Discussion
13 Hypothesis tests, deciding Lecture,Question-Answer,Discussion
14 Difference tests; chi-square analysis Problem solving, Lecture,Question-Answer,
15 Difference tests; chi-square analysis Problem solving, Lecture,Question-Answer,
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 Köklü, N., Büyüköztürk, Ş., (2000). Sosyal Bilimler için İstatistiğe Giriş, Ankara: PegemA Yayıncılık.
2 Arıcı, H. (2001) İstatistik Yöntemler ve Uygulamalar. Ankara: METEKSAN A.Ş.
3 Akdeniz, F. (2006) Olasılık ve İstatistik. Adana: Nobel Kitabevi
Required Course instruments and materials
Coursebook

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

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 2 14 28
Outside Class
       a) Reading 2 9 18
       b) Search in internet/Library 2 10 20
       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 2 7 14
mid-term exam 2 1 2
Own study for final exam 3 12 36
final exam 2 1 2
0
0
Total work load; 120