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Lesson 7 of 20

Joint Probability of Two Events

Joint probability refers to the multiplication rule of probability. This is the probability that both the events will occur.

Joint Probability
Joint Probability

Example

The probability that the price of oil will rise, P(B) = 0.5

The probability that the bus fare will increase if oil price rises, P(A|B) = 0.4

The probability that both oil prices and bus fares will rise, P(AB) = 0.4*0.5 = 0.2

This may look complex but the logic is actually quite straight forward. There is a 50% chance that oil price will rise and if it rises there is a 40% chance that the bus fair will also rise. So, the joint probability of both oil price rise and bus fare rise is 50% of 40%, i.e., 0.5*0.4 = 0.20 or 20%.

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Multiplication, Addition and Total Probability Rules

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Probability of Atleast One of the Events Occuring

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Probability Concepts

20 lessons

Lessons

1
Probability - Basic Terminology
2
Two Defining Properties of Probability
3
Empirical, Subjective and Priori Probability
4
State the Probability of an Event as Odds
5
Unconditional and Conditional Probabilities
6
Multiplication, Addition and Total Probability Rules
7
Joint Probability of Two Events
8
Probability of Atleast One of the Events Occuring
9
Dependent Vs. Independent Events in Probability
10
Joint Probability of a Number of Independent Events
11
Unconditional Probability Using Total Probability Rule
12
Expected Value of Investments
13
Calculating Variance and Standard Deviation of Stock Returns
14
Conditional Expected Values
15
Calculating Covariance and Correlation
16
Expected Value of a Portfolio
17
Variance and Standard Deviation of a Portfolio
18
Bayes’ Theorem
19
Multiplication Rule of Counting
20
Permutation and Combination Formula

Quizzes

Probablity Concepts
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