PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
PDR 228	STATISTICS-II	3 + 0	4th Semester	5

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Compulsory
Course Objective	The aim of this course is to provide students with information about hypothesis testing, correlation, regression, analyses of significance, analysis of variance and their applications in statistics package programs.
Course Content	Hypothesis testing, correlation, regression, analyses of significance, analysis of variance their applications in statistics package programs.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Will be able to know the basic concepts about inferential statistics
2	Will be able to know the parametric and nonparametric tests
3	Will be able to distinguish the parametric and nonparametric tests
4	Will be able to use parametric tests
5	Will be able to use parametric tests

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	PO 15	PO 16	PO 17
LO 001	2		2	4		4	2			2	5	4			3		2
LO 002	2		4	3		4	3			2	4	5			2		1
LO 003	3		4	5		4	3			3	4	4			4		3
LO 004	3		4	3		4	4			4	3	4			4		4
LO 005	3		4	5		5	3			4	4	4			2		3
Sub Total	13		18	20		21	15			15	20	21			15		13
Contribution	3	0	4	4	0	4	3	0	0	3	4	4	0	0	3	0	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	3	42
Assignments	2	10	20
Mid-terms	1	20	20
Final examination	1	6	6
Total Work Load ECTS Credit of the Course			130 5

COURSE DETAILS

Select Year

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
PDR 228	STATISTICS-II	3 + 0	1	Turkish	2020-2021 Spring

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Asts. Prof. Dr. TOLGA COŞGUNER	tolgacosguner@pau.edu.tr		EGT A0432-15	%

Goals		The aim of this course is to provide students with information about hypothesis testing, correlation, regression, analyses of significance, analysis of variance and their applications in statistics package programs.
Content		Hypothesis testing, correlation, regression, analyses of significance, analysis of variance their applications in statistics package programs.

Topics

Weeks	Topics
1	Basics of Inferential statistics
2	Probability
3	Probability and distribution of sample means
4	Introduction to hypothesis testing
5	Introduction to t statistics
6	Hypothesis tests with two independent samples
7	Hypothesis tests with related samples
8	Introduction to analysis of variance
9	Continue (Introduction to analysis of variance)
10	Related-Measures analysis of variance
11	Continue (Related-Measures analysis of variance)
12	Two factor analysis of variance
13	Continue (Two factor analysis of variance)
14	Regression

Materials

Materials are not specified.

Resources

Resources	Resources Language
Baykul, Y. (1999). İstatsitik metodlar ve uygulamalar. 3. Baskı. Anı Yayıncılık, Ankara	Türkçe
Gravetter, F. J. & Wallnau, L. B. (2000). Statsitics for the behavioral sciences. 5th Ed. Wadsworth/Thomson Learninig, Belmont, CA.	Türkçe

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Final Exam	50	Final Exam
Midterm Exam	50	Midterm Exam

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

Prospective Student