Examples on Conditional Probability || Probability || Dr Prashant Patil || 18MATDIP41

In this video, the following examples are solved in an easy and best way to understand:

Definition of Conditional probability and Multiplication theorem.

5) If A and B are events having P(A)=1/2; P(B)=1/3,P(A∩B)=1/4
find P(A⁄B),P(B⁄A),P(A ̅⁄B ̅ ) and P(B ̅⁄A ̅ ).

6) Given P(A)=3/4; P(B)=1/5,P(A∩B)=1/20 find P (A ̅⁄B ̅ ),P(B ̅⁄A ̅ ),P(A⁄B ̅ )
and P(B ̅⁄A).

#DrPrashantPatil#18MATDIP41_Module05#Lecture08

18MAT21- Advanced Calculus and Numerical Techniques:

1) Vector Calculus [18MAT21-Module 01]:
2) Ordinary Differential Equation of Higher order[18MAT21-Module 02]:
3) Partial Differential Equations [18MAT21-Module 03]:
4) Infinite Series [18MAT21-Module 04]:

18MAT41- Complex Analysis, Probability and Statistical Methods:

1) Conformal Transformations[18MAT41-Module 02]
2) Complex Integration[18MAT41-Module 02]
3) Probability Distributions[18MAT41-Module 03]
4) Joint Probability Distribution and Sampling [18MAT41-Module 05]

18MATDIP41- Additional Mathematics II:

1) Probability[18MATDIP41-Module05]