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Lesson 8 of 20

Probability of Atleast One of the Events Occuring

This refers to the addition rule.

The additional rule determines the probability of atleast one of the events occuring.

P (A or B) = P (A) + P (B) - P (A and B)

If A and B are mutually exclusive, then P(A and B) = 0, so the rule can be simplified as follows:

P (A or B) = P (A) + P (B) for mutually exclusive events A and B.

Example

An investor is contemplating buying one of the two stocks A or B. The probability P(A) that an investor will buy stock A is 0.30. The probability P(B) that the investor will buy stock B is 0.50. The probability that he may buy both P(A and B) is 0.10.

The probability that the investor will buy atleast one of the two stocks (A, or B, or both) is calculated as follows:

P(A or B) = 0.30 + 0.50 – 0.10 = 0.70

Suppose P(A) and P(B) are mutually exclusive events, that is, the investor will buy only one of the two stocks, then:

P(A or B) = 0.30 + 0.50 = 0.80

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Joint Probability of Two Events

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Dependent Vs. Independent Events in Probability

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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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