PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
DTS 109	STATISTICS	3 + 0	2nd Semester	2

COURSE DESCRIPTION

Course Level	Associate's Degree
Course Type	Compulsory
Course Objective	The aim of the course, data collection, analysis and interpretation.
Course Content	Basic Concepts, Data Collection, Preparation and Submission, Measures of Central Tendency and Dispersion, indices, Probability and Random Variables, Regression and Correlation.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Collects and converts the data series for the research.
2	Evaluates the results of data analyzes the relationship between variables.
3	Calculate possibilities.

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	3	42
Mid-terms	1	4	4
Final examination	1	6	6
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
DTS 109	STATISTICS	3 + 0	1	Turkish	2023-2024 Spring

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Lecturer HAMİD YEŞİLYAYLA	hyesilyayla@pau.edu.tr		ÇMYO A0007	%70

Goals		The aim of the course, data collection, analysis and interpretation.
Content		Basic Concepts, Data Collection, Preparation and Submission, Measures of Central Tendency and Dispersion, indices, Probability and Random Variables, Regression and Correlation.

Topics

Weeks	Topics
1	Statistics means that the definition, history and the importance of
2	Classification of data, classification, application, data grouping and grouping techniques, a combination of skills,
3	The data show
4	averages
5	averages
6	Shape variability and the division
7
8	probability
9	probability
10	probability distributions
11	Estimation Theory
12	hypothesis Testing
13	Ki-square test and analysis of variance
14	Regression and Correlation Analysis

Materials

Materials are not specified.

Resources

Resources	Resources Language
Sosyal Bilimlerde İStatistik Fahamet Akın	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