Overview
The aim of this course is to introduce an introduction to distribution
theory including: Student’s knowledge of the basic probability theory, ,
random variables, their types, and properties, the name of the distribution, the mathematical
formula of its functions, and some of its properties and applications. This
course will also provide famous discrete probability distributions, famous continuous probability distributions, the
central moments, the non-central moments, the moment generating function, and
the probability-generating function
Intended learning outcomes
. Identify the probability
distribution of actual data based on its probabilistic behavior.
2. Know some special distributions
and behavior of probability functions.
3. Developing the skill of group
communication through group tasks assigned to the student.
4. Deduce the relationship between central
moments and the moment-generating function.
5. Employing the concept of the
moment-generating function in finding the properties of probability
distributions.
6. Develop his mental abilities
through the use of brainstorming strategy.
Teaching and learning methods
·
Lectures
·
Panels
·
Solving exercises
Methods of assessments
• The result of the midterm exam,
for which 20 marks are allocated.
• As a result of continuous duties
during the semester with an average of 10 assignments, and 10 grades are
allocated to them
• The result of the worksheet in
which the student uses what has been studied throughout the semester, and
allocates 10 marks to it
• The result of the
final exam, for which 60 marks are allocated
