Erciyes University - Info Package

Course unit title	Level of course unit	Course unit code	Type of course unit	Semester of course unit	Local credit	ECTS credit	Syllabus
STATISTICS	Second cycle	F-SRV214		4	5.00	5.00	Print

Description of course unit

Prerequisites and course requisities	None
Language of instruction	Turkish
Coordinator	ASST.PROF.DR. HARUN KINACI
Lecturer(s)	ASST.PROF.DR. HARUN KINACI
Teaching assitant(s)	None
Mode of delivery	Lectures and student-based autonomous study
Course objective	To develop ability of statistically thinking and understanding of the basis of statistical methods, and analyzing data by using statistical methods and interpreting the results
Course description	Topics include basic definitions related to statistics, measures of central tendency, measures of variability, probability, discrete random variables and probability, continuous random variables and probability, sampling, hypothesis testing, correlation and regression analysis

Course contents

1	Basic concepts: statistics, variables, parameters, etc.
2	Data collection, statistical data and tables
3	Data collection, statistical data and graphics
4	Central tendency measures (arithmetic mean, median, mode)
5	Central tendency measures (arithmetic mean, median, mode)
6	Measures of variability (variance, standard deviation, etc.)
7	Variability measures (variance, standard deviation, etc.)
8	Mid-Term Exam
9	Probability
10	Discrete random variables and their probability distributions
11	Discrete random variables and their probability distributions
12	Binomial and Poisson probability distributions
13	Continuous variables and probability distributions
14	Normal distribution
15	Repetition at the end of the term
16	Final exam
17	Final exam
18
19
20

Learning outcomes of the course unit

1	To have knowledge on the concept of statistics
2	To have knowledge on basic statistical methods
3	To develop the ability of collection of data, summarization and description of collected data
4	To have knowledge on the concept of probability
5	To have knowledge on sampling and sampling techniques
6	To have knowledge on hypothesis testing, correlation and regression analysis
7	To develop the ability of statistical analysis and interpretation of results
8
9
10

*Contribution level of the course unit to the key learning outcomes

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
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17
18
19
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45
Number of stars refer to level of contribution from 1 (the least) to 5 (the most)

Planned learning activities, teaching methods and ECTS work load

	Quantity	Time (hour)	Quantity*Time (hour)
Lectures (face to face teaching)	14	3	42
Study hours out of classroom (study before and after the class)	10	4	40
Homework	6	3	18
Presentation / seminar	0	0	0
Quiz	0	0	0
Preparation for midterm exams	1	10	10
Midterm exams	1	1	1
Project (term paper)	0	0	0
Laboratuar	0	0	0
Field study	0	0	0
Preparation for final exam	1	13	13
Final exam	1	1	1
Research	0	0	0
Total work load			125
ECTS			5.00

Assessment methods and criteria

Evaluation during semester	Quantity	Percentage
Midterm exam	1	100
Quiz	0	0
Homework	0	0
Semester total		100
Contribution ratio of evaluation during semester to success		40
Contribution ratio of final exam to success		60
General total		100

Recommended and required reading

Textbook	Ünver Ö, Gamgam H. ve Altunkaynak B, Temel İstatistik Yöntemler, Seçkin Yayıncılık, 2011 Büyüköztürk Ş., Köklü N. ve Çokluk-Bökeoğlu Ö., Sosyal Bilimler İçin İstatistik, Pegem Akademi Yayıncılık, 2010 Bowerman B.L., O'Connell R.T., Murphree E.S. ve Orris J.B., İşletme İstatistiğinin Temelleri, Nobel Yayın Dağıtım, 2013
Additional references	None

Files related to the course unit