By Umair Instructor
This course includes
1 BASIC PRINCIPLE OF COUNTING
2 Permutations
3 Combinations
4 From combinatorial identity to binomial theorem
5 Permutations, Combinations, Basic Principle of Counting Questions
6 Introduction to Probability (sample space, events, and more)
7 Introduction to Probability (Commutative, Associative, Distributive and DeMorgan's Laws)
8 Axioms of Probability
9 Axioms of Probability (Examples)
10 Axioms of Probability Exercise Questions
11 Axioms of Probability Exercise Questions (contd.)
1.BASIC PRINCIPLE OF COUNTING - 1.1(a)
2.BASIC PRINCIPLE OF COUNTING - 1.1 (b)
3.Permutations - 1.2(a)
4.Permutations - 1.2(b)
5(i).Combinations - 1.3
5(ii)Combinations - 1.3
6.Permutations, Combinations, Basic Principle of Counting Questions - 5
7.Introduction to Probability (sample space, events, and more)- 2.1(a)
7(ii).Introduction to Probability (Commutative, Associative, Distributive and DeMorgan's Laws)-2.1(b)
8.Axioms of Probability - 2.2
9.Axioms of Probability (Examples) - 2.3
10.Axioms of Probability Exercise Questions - 10
11.Axioms of Probability Exercise Questions (contd.) - 11
12.Conditional Probability- lecture 3.1
13.Baye's Formula-lecture 3.2
14.Random variable-lecture 4.1
15 PDF and CDF 42
16.Expected value-4.3
17.Variance-lecture 4.4
18.Questions chapter 4(a)-i Expected Value and Variance
19.Questions chapter 4(a)-ii Expected Value and Variance
20.Lecture 4.5 Bernoulli & Binomial Distributions
Summary: The probability of an event is the measure of the chance that the event will occur as a result of an experiment. The probability of an event A is the number of ways event A can occur divided by the total number of possible outcomes.
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