Question:

One card is drawn at random from a well shuffled deck of 52 cards. In which of the following cases are the events E and F independent?
(i)E:'the card drawn is a spade'
F:'the card drawn is an ace'
(ii)E:'the card drawn is black'
F:'the card drawn is a king'
(iii)E:'the card drawn is a king or queen'
F:'the card drawn is a queen or jack'

Updated On: Sep 21, 2023
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Solution and Explanation

\(S\)={All the 52 cards}⇒\(n(S)=52 \)
(i)\(E\)={13 spades}⇒\(n(E)=13\)
\(∴P(E)=\frac{n(E)}{n(S)}=\frac{13}{52}=\frac{1}{4}\)
\(F\)={4 aces}\(⇒n(F)=4\)
\(∴P(F)=\frac{n(F)}{n(S)}=\frac{4}{52}=\frac{1}{13}\)
Now \(E∩F=\){An ace of spade}\(⇒n(E∩F)=1\)
\(∴P(E∩F)=\frac{n(E∩F)}{n(S)}=\frac{1}{52}\)
Also.\(P(E).P(F)=\frac{1}{4}×\frac{1}{13}=\frac{1}{52}\)
Therefore,\(P(E∩F)=P(E).P(F)\)
Hence,\(E\) and \(F\) are independent events.
(ii)\(E\)={26 black cards}\(⇒n(E)=26\)
\(∴P(E)=\frac{n(E)}{n(S)}=\frac{26}{52}=\frac{1}{2}\)
\(F=\){4 kings}\(⇒n(F)=4\)
\(∴P(F)=\frac{n(F)}{n(S)}=\frac{4}{52}=\frac{1}{13}\)
Now,\(E∩F=\){2 black kings}\(⇒n(E∩F)=2\)
\(∴P(E∩F)=\frac{n(E∩F)}{n(S)}=\frac{2}{52}=\frac{1}{26}\)
Also,\(P(E).P(F)=\frac{1}{2}×\frac{1}{13}=\frac{1}{26}\)
Therefore,\(P(E∩F)=P(E).P(F)\)
Hence,\(E\) and \(F\) are independent events.
(iii)\(E\)={4kings,4queens}\(⇒n(E)=8\)
\(∴P(E)=\frac{n(E)}{n(S)}=\frac{8}{52}=\frac{2}{13}\)
\(F\)={4queens,4jacks}\(⇒n(F)=8\)
\(∴P(F)=\frac{n(F)}{n(S)}=\frac{8}{52}=\frac{2}{13}\)
Now \(E∩F=\){4queens}\(⇒n(E∩f)=4\)
\(∴P(E∩F)=\frac{n(E∩F)}{n(S)}=\frac{4}{52}=\frac{1}{13}\)
Also,\(P(E).P(F)=\frac{2}{13}×\frac{2}{13}=\frac{4}{169}\)
Therefore,\(P(E∩F)≠P(E).P(F)\)
Hence,\(E\) and \(F\) are not independent events.
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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)