Question:

Two events \(A\) and \(B\) are said to be independent, if:

Updated On: Sep 21, 2023
  • \(A\) and \(B\) are mutually exclusive.

  • \(P(A'B')=[1–P(A)] [1–P(B)]\)

  • \(P(A)=P(B)\)

  • \(P(A)+P(B)=1\)

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The Correct Option is B

Solution and Explanation

The correct answer is B:\(P(A'B')=[1–P(A)] [1–P(B)]\)
Two events A and B are said to be independent, if \(P(AB) = P(A) × P(B)\)
Consider the result given in alternative B.
\(P(A'B')=[1–P(A)] [1–P(B)]\)
\(\implies P(A'\cap B')=1-P(A)-P(B)+P(A).P(B)\)
\(\implies 1-P(A\cup B)=1-P(A)-P(B)+P(A).P(B)\)
\(\implies P(A\cup B)=P(A)+P(B)-P(A).P(B)\)
\(\implies P(A)+P(B)-P(AB)=P(A)+P(B)-P(A).P(B)\)
\(\implies P(AB)=P(A).P(B)\)
This implies that A and B are independent, if \(P(A'B')=[1–P(A)] [1–P(B)]\)
Distracter Rationale
A. Let \(P (A) = m, P (B) = n, 0 < m, n < 1\)
\(A\) and \(B\) are mutually exclusive
\(\therefore A\cap B=\phi\)
\(\implies P(AB)=0\)
However, \(P(A).P(B)=mn\neq0\)
\(\therefore P(A).P(B) \neq P(AB)\)
C. Let \(A\): Event of getting an odd number on throw of a die = {1, 3, 5}
\(\implies P(A)=\frac{3}{6}=\frac{1}{2}\)
B: Event of getting an even number on throw of a die = {2, 4, 6}
\(\implies P(B)=\frac{3}{6}=\frac{1}{2}\)
\(\)Here, \(A\cap B=\phi\)
\(\therefore P(AB)=0\)
\(P(A).P(B)=\frac{1}{4} \neq0\)
\(\implies P(A).P(B) \neq P(AB)\)
D. From the above example, it can be seen that,
\(P(A)+P(B)=\frac{1}{2}+\frac{1}{2}\)
However, it cannot be inferred that \(A\) and \(B\) are independent.
Thus, the correct answer is B.
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Concepts Used:

Independent Events

Independent Events are those events that are not dependent on the occurrence or happening of any other event. For instance, if we flip a dice and get 2 as the outcome, and if we flip it again and then get 6 as the outcome. In Both cases, the events have different results and are not dependent on each other. 

All the events that are not dependent on the occurrence and nonoccurrence are denominated as independent events. If Event 1 does not depend on the occurrence of Event 2, then both Events 1 and 2 are independent Events. 

Two Events: Event 1 and Event 2 are independent if, 

P(2|1) = P (2) given P (1) ≠ 0 

and 

P (1|2) = P (1) given P (2) ≠ 0 

Two events 1 and 2 are further independent if, 

P(1 ∩ 2) = P(1) . P (2)