PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
EKNM 207	STATISTICAL METHODS	3 + 0	3rd Semester	6

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Compulsory
Course Objective	Give the necessary information regarding the statistical methods.
Course Content	Test of Hypothesis: Tests of Hypothesis for Two Population Parameters, Goodness of Fit Test, Test for Independence, Correlation Coefficients, Indexes, One Way ANOVA, Multiple Comparisons, Two Way ANOVA, Statistical Software Packages.
Prerequisites	EKNM 101 INTRODUCTION TO STATISTICS
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	.Statistical methods that are required to learn the science of econometrics
2	.Compares two populations.
3	.Goodness of fit test does
4	.Makes the independence test.
5	.Recognizes the indexes.
6	Comments the correlation coefficients for the qualitative and quantative.
7	.Makes multiple comparisons.

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07	PO 08	PO 09	PO 10	PO 11	PO 12
LO 001	5	5	5	5	5	5	5	5	5	5	5	5
LO 002	5	5		2	4	5	5	5	4	4	5	3
LO 003	5	5	5	2	4	5	5	5	4	4	5	3
LO 004	5	5	5	2	4	5	5	5	4	4	5	3
LO 005	5	5	5	2	4	5	5	5	4	4	5	3
LO 006	5	5	5	2	4	5	5	5	4	4	5	3
LO 007	5	5	5	2	4	5	5	5	4	4	5	3
Sub Total	35	35	30	17	29	35	35	35	29	29	35	23
Contribution	5	5	4	2	4	5	5	5	4	4	5	3

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	2	28
Assignments	1	26	26
Mid-terms	1	30	30
Final examination	1	30	30
Total Work Load ECTS Credit of the Course			156 6

COURSE DETAILS

Select Year

	Course Term	No	Instructors
Details	2023-2024 Fall	1	ATALAY ÇAĞLAR
Details	2023-2024 Fall	1	EDA YALÇIN KAYACAN

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
EKNM 207	STATISTICAL METHODS	3 + 0	1	Turkish	2023-2024 Fall

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Assoc. Prof. Dr. ATALAY ÇAĞLAR	acaglar@pau.edu.tr		İİBF C0103 İİBF C0203	%80

Goals		Give the necessary information regarding the statistical methods.
Content		Test of Hypothesis: Tests of Hypothesis for Two Population Parameters, Goodness of Fit Test, Test for Independence, Correlation Coefficients, Indexes, One Way ANOVA, Multiple Comparisons, Two Way ANOVA, Statistical Software Packages.

Topics

Weeks	Topics
1	Introduction
2	Statistics, Population, Sample
3	Sampling Distribution (for Mean and Ratio)
4	Hypothesis Tests and Confidence Intervals for Population's Parameters (Mean, Variance and Proportion)
5	Hypothesis Tests and Confidence Intervals for Two Different Population's Parameters (Mean, Variance and Proportion)
6	Hypothesis Tests and Confidence Intervals for Two Different Population's Parameters (Mean, Variance and Proportion)
7	Midterm Exam
8	Hypothesis Tests and Confidence Intervals for Two Different Population's Parameters (Mean, Variance and Proportion)
9	Hypothesis Tests and Confidence Intervals for Two Different Population's Parameters (Mean, Variance and Proportion)
10	Correlation Coefficients
11	Indexes
12	One Way Analysis of Variance and Multiple Comparations
13	One Way Analysis of Variance and Multiple Comparations
14	Review

Materials

Materials are not specified.

Resources

Resources	Resources Language
İşletme ve İktisat için İstatistik,Paul Newbold	Türkçe
İstatistiksel Yöntemler,Enis Sınıksaran	Türkçe
Çıkarımsal İstatistik,Necmi Gürsakal	Türkçe
Temel İstatistik,Münevver Turanlı,Selahattin Güriş	Türkçe
Statistical Methods, George W. Snedecor and William G. Cochran Eight Edition, Iowa State IA USA	English
DENEY DÜZENLEMEDE İSTATİSTİK YÖNTEMLERİ, ERGUN KARAAĞAOĞLU SERDAR KURT ZEHRA MULUK ÖNİZ TOKTAMIŞ, GAZİ KİTABEVİ, ANKARA	Türkçe

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Final Exam	60	Final Exam
Midterm Exam	40	Midterm Exam

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

Prospective Student