PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
PAZR 106	STATISTICS	3 + 0	2nd Semester	3

COURSE DESCRIPTION

Course Level	Associate's Degree
Course Type	Compulsory
Course Objective	The student, according to theoretical knowledge acquired determine a descriptive statistical information, by identifying the most appropriate descriptive statistical tools, be able to use them and their problem according to the research purpose, method, coverage, sampling and analysis program used in data collection techniques and analysis procedures applied to data collected by the packet programs that can handle, which can analyze the data of two variables, the findings provide yorumlayabilmesini and raporlayabilmesini.
Course Content	Descriptive statistical information to determine The descriptive statistical tools to identify and use appropriate And using descriptive statistical tools to determine the most appropriate Research to determine the purpose of Main mass and determine the appropriate sample audience Main mass and determine the appropriate sample audience Collect the appropriate data Processing of data collected in the package programs Processing of data collected in the package programs Bivariate analysis of the data
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Being able to use descriptive statistical information
2	Using the techniques of statistical research
3	Using the statistical package programs gain competencies.

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	15	15
Final examination	1	21	21
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
PAZR 106	STATISTICS	3 + 0	1	Turkish	2019-2020 Spring

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Lecturer ÖZLEM FEDAİ DENİŞ	ofedai@pau.edu.tr		BUMYO C0201	%70

Goals		The student, according to theoretical knowledge acquired determine a descriptive statistical information, by identifying the most appropriate descriptive statistical tools, be able to use them and their problem according to the research purpose, method, coverage, sampling and analysis program used in data collection techniques and analysis procedures applied to data collected by the packet programs that can handle, which can analyze the data of two variables, the findings provide yorumlayabilmesini and raporlayabilmesini.
Content		Descriptive statistical information to determine The descriptive statistical tools to identify and use appropriate And using descriptive statistical tools to determine the most appropriate Research to determine the purpose of Main mass and determine the appropriate sample audience Main mass and determine the appropriate sample audience Collect the appropriate data Processing of data collected in the package programs Processing of data collected in the package programs Bivariate analysis of the data

Topics

Weeks	Topics
1	to give general information about the statistics and general concepts
2	data summarizing
3	data summarizing
4	Explanation of data: central tendency measures
5	Explanation of data:central tendency measures
6	Explanation of data:Distribution measures
7	Explanation of data:Distribution measures
8	possibility
9	possibility
10	index variations and transition between the indexing
11	index variations and transition between the indexing
12	Regression, trend and correlation
13	Regression, trend and correlation
14	a review of general concepts

Materials

Materials are not specified.

Resources

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