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Probability - Algebra of events

Grade 11CBSE

Review the key concepts, formulae, and examples before starting your quiz.

🔑Concepts

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An Event is a subset of the sample space SS. Every outcome in the event is called a 'favorable outcome'.

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The Complementary Event A′A' (or 'not AA') consists of all outcomes in SS that are not in AA. Mathematically, A′=S−AA' = S - A.

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The Union of Events A∪BA \cup B (Event 'AA or BB') represents the occurrence of at least one of the events AA or BB.

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The Intersection of Events A∩BA \cap B (Event 'AA and BB') represents the simultaneous occurrence of both events AA and BB.

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The Difference of Events A−BA - B (Event 'AA but not BB') includes outcomes which are in AA but not in BB. Note that A−B=A∩B′A - B = A \cap B'.

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Mutually Exclusive Events: Two events AA and BB are mutually exclusive if they cannot occur at the same time, i.e., A∩B=ϕA \cap B = \phi.

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Exhaustive Events: Events E1,E2,…,EnE_1, E_2, \dots, E_n are exhaustive if their union is equal to the sample space SS, i.e., E1∪E2∪⋯∪En=SE_1 \cup E_2 \cup \dots \cup E_n = S.

📐Formulae

P(A∪B)=P(A)+P(B)−P(A∩B)P(A \cup B) = P(A) + P(B) - P(A \cap B) soulution for the Addition Theorem.

P(A′)=1−P(A)P(A') = 1 - P(A)

P(A but not B)=P(A−B)=P(A)−P(A∩B)P(A \text{ but not } B) = P(A - B) = P(A) - P(A \cap B)

A∩(B∪C)=(A∩B)∪(A∩C)A \cap (B \cup C) = (A \cap B) \cup (A \cap C) (Distributive Law)

(A∪B)′=A′∩B′(A \cup B)' = A' \cap B' (De Morgan's Law)

(A∩B)′=A′∪B′(A \cap B)' = A' \cup B' (De Morgan's Law)

💡Examples

Problem 1:

In an experiment of rolling a fair die, let AA be the event of getting an even number and BB be the event of getting a multiple of 33. Find A∪BA \cup B and A∩BA \cap B.

Solution:

The sample space is S={1,2,3,4,5,6}S = \{1, 2, 3, 4, 5, 6\}. Event A={2,4,6}A = \{2, 4, 6\} and Event B={3,6}B = \{3, 6\}. To find A∪BA \cup B, we combine all elements: A∪B={2,3,4,6}A \cup B = \{2, 3, 4, 6\}. To find A∩BA \cap B, we look for common elements: A∩B={6}A \cap B = \{6\}.

Explanation:

Union represents 'either or both', while intersection represents 'only common elements'.

Problem 2:

If P(A)=0.6P(A) = 0.6, P(B)=0.5P(B) = 0.5, and P(A∩B)=0.2P(A \cap B) = 0.2, calculate the probability that neither AA nor BB occurs.

Solution:

First, find P(A∪B)P(A \cup B): P(A∪B)=P(A)+P(B)−P(A∩B)P(A \cup B) = P(A) + P(B) - P(A \cap B) P(A∪B)=0.6+0.5−0.2=0.9P(A \cup B) = 0.6 + 0.5 - 0.2 = 0.9

The event 'neither AA nor BB' is (A∪B)′(A \cup B)'. P((A∪B)′)=1−P(A∪B)=1−0.9=0.1P((A \cup B)') = 1 - P(A \cup B) = 1 - 0.9 = 0.1.

Explanation:

The probability of the complement of the union gives the probability that none of the events occur.

Problem 3:

Calculate the total number of favorable outcomes for n(A∪B)n(A \cup B) if n(A)=45n(A) = 45, n(B)=32n(B) = 32, and n(A∩B)=12n(A \cap B) = 12.

Solution:

Using the principle of inclusion-exclusion: 45+3277−1265\begin{array}{r} 45 \\ + 32 \\ \hline 77 \\ - 12 \\ \hline 65 \end{array} n(A∪B)=65n(A \cup B) = 65.

Explanation:

We add the elements of both sets and subtract the intersection to avoid double-counting.