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Course Unit Code	Course Unit Title	Type of Course Unit	Year of Study	Semester	Number of ECTS Credits
İST152	BASIC STATICTICS		1	2	5,00

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Lisans

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Language of Instruction

English

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Objectives of the Course

The aim of this course is to make students understand the basic probability and statistical concepts and learn statistical analysis techniques that they can apply in their own area.

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Name of Lecturer(s)

Assoc. Prof. Dr. Funda Iscioglu

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Learning Outcomes

1	1. To be able to understand basic concepts related to Statistics
2	2 To be able to construct frequency tables to summarize the data and to present the results graphically
3	3. To become qualified in obtaining the characteristics of the data and summarizing the data
4	4. To be able to solve basic probability problems by understanding probability theory
5	5. To understand some special probability distributions, and be able to solve problems by the help of these distributions
6	6. To be qualified in estimating the parameters regarding to population
7	7. To be qualified in constructing, testing the hypothesis, and making inferences about the population
8	8. To be able to comprehend sampling distributions.
9	9. To be aware of the ethical issues in surveys
10	10. To realize the importance of statistical data analysis in education

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Mode of Delivery

Face to Face

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Prerequisities and Co-Requisities

None

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Recommended Optional Programme Components

none

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Content of the Course

Basic Subjects: Description of Statistics; Population; Sample; Variable; Types of Variables; Parameters; Sample Statistics. Frequency Distributions: Frequency Distribution Tables; Graphs. Descriptive Statistics: Location Statistics; Measures of Variability. Probability Theory and Random Variables: Sample Spaces and Events; Permutation; Combination; Probability Laws; Conditional Probability; Bayes’ Theorem; Random Variable and Probability Distributions. Some Special Probability Distributions: Bernoulli Distribution; Binomial Distribution; Normal Distribution; Hypergeometric Distribution; Uniform Distribution Sampling distributions Chi-square, F and student- t distributions Statistical Inference: Statistical Estimation; Interval Estimation; Test of Hypothesis.

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Weekly Detailed Course Contents

Week	Subjects (Theoretical)	Practice, Laboratory	Teaching Methods	Preparatory
1	Course description: Contents, references, basic concepts
2	Frequency distributions and graphs
3	Measures of Location and Variability
4	Introduction to Probability theory
5	Probability theorems, conditional probability, total probability rule and Bayes theorem
6	Discrete random variables and some properties
7	Discrete distributions:Uniform, Bernoulli, Binomial, Poisson, etc.
8	Midterm exam
9	Continuous random variables and some properties
10	Continuous distributions: Uniform, Normal, standart normal, exponential, gamma, etc.
11	Sampling distributions: Sampling distribution for sample mean and variance , Central Limit Theorem,
12	Chi-square, F and student-t distributions
13	Interval estimation for mean and variance
14	Tests of hypothesis for mean and the variance (one sample case)
15	Tests of hypothesis for mean and the variance (two sample case)
16	Fınal exam

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Text Book / Material / Recommended Resources

COURSE BOOK: 1. Applied Statistics, J. Neter, W. Wasserman, G.A. Whitmore, Simon & Schuster, Inc., 4th ed., 1993, ISBN 0-205-13478-5 References: 1. Şenol, S., “Tanımlayıcı İstatistik”, Nobel Yayın Dağıtım, ISBN 978-605-395-146-9 2. Şenol, S., “Çıkarsamalı İstatistik”, Nobel Yayın Dağıtım, ISBN 978-605-395-147-6 3. Applied Statistics and Probability for Engineers, D.C. Montgomery & G.C. Runger, John Wiley & Sons, Inc., 3rd ed., 2003, ISBN 0-471-20454-4 (possible to download from internet) 4. Statistics, Concept and Applications, Amir D. Aczel,IRWIN, 1995, ISBN:0-256-11935-X, USA.

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Planned Learning Activities and Teaching Methods

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Assessment Methods and Criteria

Term (or Year) Learning Activities	Quantity	Weight
Midterm Examination	1	100
Total		100
End Of Term (or Year) Learning Activities	Quantity	Weight
Final Examination	1	100
Total		100
Term (or Year) Learning Activities		40
End Of Term (or Year) Learning Activities		60

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Work Pacement(s)

none

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Workload Calculation

Activities	Number	Time (hours)	Total Work Load (hours)
Midterm Examination	1	2	2
Final Examination	1	2	2
Attending Lectures	14	2	28
Practice	14	2	28
Individual Study for Mid term Examination	1	22	22
Individual Study for Final Examination	1	32	32
Reading	14	2	28
Total Work Load (hours)			142

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Contribution of Learning Outcomes to Programme Outcomes

	PO 1	PO 2	PO 3	PO 4	PO 5	PO 6	PO 7	PO 8	PO 9	PO 10	PO 11
LO 1							3
LO 2							3
LO 3							3
LO 4								3
LO 5								3
LO 6								3
LO 7								3
LO 8								3
LO 9							3
LO 10							3