Information Package / Course Catalogue - Adnan Menderes University

General Information Unit Staff Academic Information Programme Outcomes Course Structure Diagram Contact Information

Person Responsible for Information Package

Probability

Course Code	: BİS523
Course Type	: Area Elective
Couse Group	: Second Cycle (Master's Degree)
Education Language	: Turkish
Work Placement	: N/A

Theory	: 1
Prt.	: 0
Credit	: 1
Lab	: 0
ECTS	: 2

Objectives of the Course

The objective of this course is to introduce the main issues in the theory and practice of probability and basic ınference.

Course Content

Basic Concepts of Probability, Probability Distributions, Sampling and Sampling Distributions, Estimation, Hypothesis Testing

Name of Lecturer(s)

Learning Outcomes

1.	To be able to improve the ability statistical analysis with using basic issues and methodology
2.	To be able to apply some special distribution, use statistical methods and comment of its outputs.
3.	To be able to est of population parameters
4.	To be able to estimate intervals for population parameters
5.	To be able to make statistical inferences

Recommended or Required Reading

Weekly Detailed Course Contents

Week 1 - Theoretical

Introduce to discrete distributions, Bernoulli distribution

Week 2 - Theoretical

Binomial distribution

Week 3 - Theoretical

Mean and variance of Binomial distribution, normal approximation to binomial distribution

Week 4 - Theoretical

Geometric and hypergeometric distribution

Week 5 - Theoretical

Introduce to continuous distributions, uniform distribution

Week 6 - Theoretical

Exponential distribution

Week 7 - Theoretical

Normal distribution

Week 8 - Theoretical

Literature review and discussion (Midterm exam)

Week 9 - Theoretical

Sampling, sampling distributions, the proporties of point estimation

Week 10 - Theoretical

Interval estimation : The interval estimation for population mean and variance

Week 11 - Theoretical

The interval estimation for population proportion and the difference between two population parameters

Week 12 - Theoretical

Chebyshev’s inequality and the central limit theorem

Week 13 - Theoretical

Introduction to hypothesis testing and basic issues, hypothesis testing for population mean

Week 14 - Theoretical

Hypothesis testing for population variance and proportion

Week 15 - Final Exam

Final exam

Assessment Methods and Criteria

Type of Assessment	Count	Percent
Attending Lectures	1	%5
Assignment	1	%5
Midterm Examination	1	%20
Final Examination	1	%70

Workload Calculation

Activities	Count	Preparation	Time	Total Work Load (hours)
Lecture - Theory	14	0	1	14
Assignment	1	10	0	10
Midterm Examination	1	10	1	11
Final Examination	1	10	1	11
TOTAL WORKLOAD (hours)				46

Contribution of Learning Outcomes to Programme Outcomes

	PÇ-1	PÇ-2	PÇ-3	PÇ-4	PÇ-5	PÇ-6	PÇ-7	PÇ-8	PÇ-9	PÇ-10
OÇ-1	4	4	5	5	4	4	4	5	4	4
OÇ-2	5	4	4	5	4	4	4	4	3	4
OÇ-3	4	4	4	4	4	4	4	5	5	5
OÇ-4	3	4	4	4	4	4	4	4	5	5
OÇ-5	5	5	4	5	4	4	4	4	4	4

Person Responsible for Information Package