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Course Content
Chapter 1 – Introduction to counting and probability
The main objective of this chapter is to knowing the main concepts of couniting and probability.
0/4
Lecture 1 – Introduction / Counting / Probability
01:10:35
Lecture 2&3 -(Rules of Probability / Independence) & (The Reliability Block Diagram)
01:39:54
Lecture 4 _Part I – Conditional Probability and Independents of Events.
27:08
Lecture 4_Part II – Total Probability Rule and Bay’s Rule.
38:07
Chapter 2 – Random Variable and Special Distributions
The objective of this chapter is to study the definition of random variable with two types which is discreet random variable and continuous random variable, then discussion of pmf and pdf with CDF. Finaly this chapter discuss the expectation values and variance, then we apply all these topics on special distributions.
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Lecture 5_Part I – Discreet Random Variable.
36:01
Lecture 5_Part II – Continues Random Variable.
35:25
Lecture 6 _Patr 1 – Geometric Distribution
35:24
Lecture 6 _Patr 2 – Hypergeometric Distribution
13:30
Lecture 7 – Part_1-Binomial Dist.
35:23
Lecture 7 _Patr 2-Poisseoin Dist.
35:44
Lecture 9 _Patr 1 – Special Continuous Distrubutions
38:32
Lecture 9 _Patr 2 – Special Continuous Distrubutions
28:08
Revision for Midterm
Revision on all topics before midterm.
0/3
Lecture 8 _ Revision 1
34:28
Lecture 8 _ Revision 2
34:49
Lecture 8 _ Revision 3
30:45
Sampling and Confidence intervals
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Lecture 10 _Patr 1 – Sampling
32:47
Lecture 10 _Patr 2 – Sampling Distrbuation
35:56
Lecture 11 _Patr 1 – Testing Hypotheses
31:28
Lecture 11 _Patr 2 – Testing Hypotheses
23:53
Lecture 12 _Patr 1
37:31
Lecture 12 _Patr 2
00:00
Lecture 13 _Patr 1
36:32
Lecture 13 _Patr 2
21:11
Lecture 14 _Patr 1
34:14
Lecture 14 _Patr 2
16:10
Revision for Final
0/2
Revision-Part_1
31:15
Revision-Part_2
30:36
MAT3026-PROBABILITT AND STATISTICS-BAU-Fall 24/25
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Introduction and Basic Counting Techniques and probability 

Exercise Files
Lecture01.pdf
Size: 15.39 MB
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