Education Information System

Course Title	Code	Semester	L+U Hour	Credits	ECTS
Statistics	TB102	2. Semester	3 + 0	3.0	4.0

Prerequisites

None

Language of Instruction	Turkish
Course Level	Undergraduate
Course Type
Mode of delivery	Face to face
Course Coordinator
Instructor(s)	Canberk BATU
Assistants
Goals	Student enables information about the basic statistical concepts and methods and they learn implementation and interpretation of these basic statistical methods.
Course Content	Indroduction to statistical analyses, general terms, presentation of data and summarization, identifcate statistics, probability and their distrubitions (binomial, poissonial and normal), statistical comments, hipothesis, analyses of the regression and correlations, analyses of the data.
Learning Outcomes	- Students learn the basic concepts of statistics - Establish statistical estimation and hypothesis - Understand to application of basic statistical methods - Learn to evaluation of statistical outputs

Week	Topics	Learning Methods
1. Week	Basic terms and definitions	Verbal Expression Course Hours Visual Presentation
2. Week	Variable types, frequency distributions, descriptive statistics for example, mode, median,	Visual Presentation Verbal Expression Course Hours
3. Week	Change measures, the change range, standard deviation, variance	Course Hours Visual Presentation Verbal Expression
4. Week	The theory of probability and chance variables, event, probability, determining the number of events	Course Hours Verbal Expression Visual Presentation
5. Week	Discrete chance variables, continuous chance variables	Course Hours Verbal Expression Visual Presentation
6. Week	Probability distributions for discrete variables, binomial distributions, Poisson distributions	Course Hours Verbal Expression Visual Presentation
7. Week	Uniform distribution, gamma type of probability distributions, Weibull probability distribution, implementation of normal distribution to Binomial distribution	Verbal Expression Visual Presentation Course Hours
8. Week	Midterm exam
9. Week	Statistical interpretation, statistical estimator types, point and interval estimation for the average population	Verbal Expression Course Hours Visual Presentation
10. Week	Hypothesis testing, large and small sample tests, t distribution, the comparison of two means	Course Hours Visual Presentation Verbal Expression
11. Week	The chi-square distribution, confidence intervals for variance and controls for hypothesis testing, comparison of two variance and F test	Course Hours Verbal Expression Visual Presentation
12. Week	The relationship between variables, linear relations, examination of the regression equation	Course Hours Verbal Expression Visual Presentation
13. Week	Correlation, the correlation coefficient calculation, control and homogeneity testing	Course Hours Visual Presentation
14. Week	Trial design and analysis, randomized plots and blocks, Latin square design experiment, comparing the averages and nonparametric tests and applications	Visual Presentation Verbal Expression Course Hours

İkiz F., Püskülcü H., Eren Ş., İstatistiğe giriş, Barış Yayınları, İzmir

Program Requirements	Contribution Level	DK1	DK2	DK3	DK4	Measurement Method
PY1	3	3	3	3	3	40,60
PY2	3	3	3	3	3	40,60
PY3	3	3	3	3	3	40,60
PY4	2	2	2	2	2	40,60
PY5	3	3	3	3	3	40,60
PY6	3	3	3	3	3	40,60
PY7	2	2	2	2	2	40,60
PY8	4	4	4	4	4	40,60
PY9	2	2	2	2	2	40,60
PY10	2	2	2	2	2	40,60

*DK = Course's Contrubution.

	0	1	2	3	4	5
Course's Level of contribution	None	Very Low	Low	Fair	High	Very High
Method of assessment/evaluation		Written exam	Oral Exams	Assignment/Project	Laboratory work	Presentation/Seminar

Event	Quantity	Duration (Hour)	Total Workload (Hour)
Course Hours	14	3	42
Preparation, After Class Study	10	1	10
Midterm 1	1	20	20
Final	1	30	30
Total Workload			102
ECTS Credit of the Course			25.5 4.0