PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
EYD 512	STATISTIC AND DATA ANALYSIS	3 + 0	2nd Semester	6

COURSE DESCRIPTION

Course Level	Master's Degree
Course Type	Compulsory
Course Objective	The aim of this course is to teach basic concepts and subjects about statistics and data analysis.
Course Content	Desciriptive stastistics, basic ideas, multivariate and joint distributions, and mod, medyan, and expected values and moments, sampling, analysis of varience, x ²-tests corelations and regression, nonparametric methods. .
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Will be able to know the basic concepts about inferential statistics
2	Will be able to know the parametric and nonparametric tests
3	Will be able to distinguish the parametric and nonparametric tests
4	Will be able to use parametric tests
5	Will be able to use parametric tests

COURSE'S CONTRIBUTION TO PROGRAM

Data not found.

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Hours for off-the-classroom study (Pre-study, practice)	14	3	42
Assignments	5	9	45
Mid-terms	1	13	13
Final examination	1	14	14
Total Work Load ECTS Credit of the Course			156 6

COURSE DETAILS

Select Year

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
EYD 512	STATISTIC AND DATA ANALYSIS	3 + 0	1	Turkish	2020-2021 Spring

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Assoc. Prof. Dr. EREN CAN AYBEK	eaybek@pau.edu.tr		EGT A0438	%70

Goals		The aim of this course is to teach basic concepts and subjects about statistics and data analysis.
Content		Desciriptive stastistics, basic ideas, multivariate and joint distributions, and mod, medyan, and expected values and moments, sampling, analysis of varience, x ²-tests corelations and regression, nonparametric methods. .

Topics

Weeks	Topics
1	Basic Concepts
2	Data Entry
3	Descriptive Statistics
4	Correlation
5	Independent Samples t-Test and Mann Whitney U Test
6	Paired Samples t-Test and Wilcoxon Signed Rank Test
7	One Way Analysis of Variance and Kruskal Wallis H Test
8	Simple Linear Regression
9	Multiple Linear Regression
10	Principal Component Analysis and Exploratory Factor Analysis
11	Item Analysis
12	Confirmatory Factor Analysis
13	Structural Equation Modeling
14	Overview

Materials

Materials are not specified.

Resources

Resources	Resources Language
Kilmen, S. (2015). Eğitim araştırmacıları için SPSS. Ankara: Edge Akademi.	Türkçe
Büyüköztürk, Ş. (2009). Sosyal bilimciler için SPSS ile veri analizi el kitabı. Ankara: Pegem Akademi.	Türkçe
Field, A. (2013). Discovering statistics using IBM SPSS statistics. SAGE.	English

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Final Exam	50	Final Exam
Midterm Exam	50	Midterm Exam

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student