PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
EKOM 508	STATISTICAL METHODS	3 + 0	2nd Semester	7,5

COURSE DESCRIPTION

Course Level	Master's Degree
Course Type	Elective
Course Objective	The aim of the course, the problems associated with techniques of statistical analysis and related techniques to introduce the concepts and techniques to provide the application.
Course Content	Parametric tests, one-way Analysis of Variance, Variance Analysis, Covariance Analysis, Correlation Analysis, Reliability Analysis, Regression Analysis, Factor Analysis
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Statistical problems modeling
2	Using statistical science in interdisciplinary studies

COURSE'S CONTRIBUTION TO PROGRAM

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	5	70
Hours for off-the-classroom study (Pre-study, practice)	14	5	70
Assignments	1	10	10
Mid-terms	1	20	20
Final examination	1	25	25
Total Work Load ECTS Credit of the Course			195 7,5

COURSE DETAILS

Select Year

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
EKOM 508	STATISTICAL METHODS	3 + 0	1	Turkish	2023-2024 Spring

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Assoc. Prof. Dr. FERDA ESİN GÜLEL	fegulel@pau.edu.tr		İİBF C0202	%70

Goals		The aim of the course, the problems associated with techniques of statistical analysis and related techniques to introduce the concepts and techniques to provide the application.
Content		Parametric tests, one-way Analysis of Variance, Variance Analysis, Covariance Analysis, Correlation Analysis, Reliability Analysis, Regression Analysis, Factor Analysis

Topics

Weeks	Topics
1	Basic Definitions and Concepts
2	Basic Descriptive Statistics, Data Definitions, Statistical Softwares
3	Data Sources, Data Manipulation, Basic Statistics, Graphs
4	Hypothesis Test and Confidence Intervals for Mean and Variance in The Single Sample
5	Hypothesis Test and Confidence Intervals for Means and Variances in The Paired Two Samples
6	Hypothesis Test and Confidence Intervals for Means and Variances in The Independent Two Samples
7	Analysis of Variance
8	Midterm
9	Cross Tables, Chi Square test
10	Cross Tables, Chi Square test
11	Correlation Analysis
12	Regression Analysis
13	Regression Analysis
14	Review

Materials

Materials are not specified.

Resources

Resources	Resources Language
Statistical Methods, George W Snedecor, William Cochran, Iowa State Press, IA USA	English
Applied Linear Statistical Methods, Neter and others, IRWIN poress, USA	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