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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
MNFE 323STATISTICS2 + 02nd Semester3

COURSE DESCRIPTION
Course Level Associate's Degree
Course Type Compulsory
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
1Intended 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
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14228
Mid-terms12020
Final examination13030
Total Work Load

ECTS Credit of the Course






78

3
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2023-2024 Spring3AYÇA KARAHAN
Details 2022-2023 Spring2AYÇA KARAHAN
Details 2021-2022 Spring2AYÇA KARAHAN
Details 2020-2021 Spring3AYÇA KARAHAN


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
MNFE 323 STATISTICS 2 + 0 3 Turkish 2023-2024 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Asts. Prof. Dr. AYÇA KARAHAN akarahan@pau.edu.tr KMYO A0101 %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
WeeksTopics
1
2
3
4
5
6
7
8
9
10
11
12
13
14
Materials
Materials are not specified.
Resources
ResourcesResources Language
İSTATİSTİK. PROF.DR. M. AKİF BAKIRTürkçe
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam60Final Exam
Midterm Exam40Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes