PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
TURI 108	STATISTICS	3 + 0	2nd Semester	3

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Compulsory
Course Objective	The purpose of this course is collecting, processing, evaluating and interpreting data based on the problems about economics and business-based decision-making and developing statistical abilities and skills.
Course Content	Probability Theory, Model, Main Mass, Concepts Of Frequency Range, Central Tendency Measures, Hypothesis Testing, Chi-Square Analysis, Normal Distribution Based Analysis, T Test, Estimation of an Unknown Main Mass Average, Regression and Correlation Analysis.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Express the terms of statistics.
2	Express the terms of data.
3	Express the terms of sampling and distrubitaion of sampling
4	Express the terms of hypothesis testing

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	PO 13	PO 14
LO 001	4	4	4	4	4	4	4	4	4	4	4	4	4	4
LO 002	3	3	3	3	3	3	3	3	3	3	3	3	3	3
LO 003	3	3	3	3	3	3	3	3	3	3	3	3	3	3
LO 004	3	3	3	3	3	3	3	3	3	3	3	3	3	3
Sub Total	13	13	13	13	13	13	13	13	13	13	13	13	13	13
Contribution	3	3	3	3	3	3	3	3	3	3	3	3	3	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
Mid-terms	1	16	16
Final examination	1	20	20
Total Work Load ECTS Credit of the Course			78 3

COURSE DETAILS

Select Year

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
TURI 108	STATISTICS	3 + 0	2	Turkish	2023-2024 Spring

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Asts. Prof. Dr. SERAP ALKAYA	salkaya@pau.edu.tr		TUR A0207	%70

Goals		The purpose of this course is collecting, processing, evaluating and interpreting data based on the problems about economics and business-based decision-making and developing statistical abilities and skills.
Content		Probability Theory, Model, Main Mass, Concepts Of Frequency Range, Central Tendency Measures, Hypothesis Testing, Chi-Square Analysis, Normal Distribution Based Analysis, T Test, Estimation of an Unknown Main Mass Average, Regression and Correlation Analysis.

Topics

Weeks	Topics
1	INTRODUCTION TO THE COURSE
2	The Emergence of Scientific Knowledge
3	Scientific Research Techniques
4	Qualitative - Quantitative Research Methods
5	Statistics and related concepts
6	Survey, Unit, Index, Universe, Sample
7	Arrays and histogram
8	Midterm
9	Series, Compound Series Graphical Representation
10	Analytical Averages
11	Non-Analytical Averages
12	Standard deviation
13	Example Solution
14	Final Exam

Materials

Materials are not specified.

Resources

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