PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
MNFE 323	STATISTICS	2 + 0	2nd Semester	2

COURSE DESCRIPTION

Course Level	Associate's Degree
Course Type	Elective
Course Objective	This course helps students understand and develop the skills of using statistical methods employed in social sciences effectively.
Course Content	In this course, the basic concepts of statistics, descriptive statistics for the data, tables and graphs to summarize data, means, variability and shape of the division, probability and probability distributions,sampling,statistical estimation and hypothesis testing, chi- square test, regression analysis and correlation analysis,indexes issues will be discussed.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Intended use and emphasizes the importance of statistics

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	2	28
Hours for off-the-classroom study (Pre-study, practice)	14	1	14
Mid-terms	1	5	5
Final examination	1	5	5
Total Work Load ECTS Credit of the Course			52 2

COURSE DETAILS

Select Year

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
MNFE 323	STATISTICS	2 + 0	2	Turkish	2023-2024 Spring

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Lecturer HACER ŞENSÖZ	hsensoz@pau.edu.tr		KMYO C0301	%70

Goals		This course helps students understand and develop the skills of using statistical methods employed in social sciences effectively.
Content		In this course, the basic concepts of statistics, descriptive statistics for the data, tables and graphs to summarize data, means, variability and shape of the division, probability and probability distributions,sampling,statistical estimation and hypothesis testing, chi- square test, regression analysis and correlation analysis,indexes issues will be discussed.

Topics

Materials

Materials are not specified.

Resources

Resources	Resources Language
İSTATİSTİK. PROF.DR. M. AKİF BAKIR	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