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Solution:
According to Question:
It is given that,
Bag 1 contains 6 black and 3 white balls.
Bag 2 contains 5 black and 4 white balls.
Now,
One ball is drawn from each bag
Then, P(one black ball from bag 1) = 6/9 and, P(one white ball from bag 1) = 3/9
P(one black ball from bag 2) = 5/9 and, P(one white ball from bag 2) = 4/9
Now,
P(Two balls are of same color) = P(Both are black) + P(Both are white)
= 6/9 × 5/9 + 3/9 × 4/9
= 30/81 + 12/81 = 42/81
= 14/27
Hence, The required probability = 14/27
Solution:
According to Question:
It is given that,
Bag 1 contains 3 red and 5 black balls.
Bag 2 contains 6 red and 4 black balls.
Now,
One ball is drawn from each bag
Then, P(one red ball from bag 1), P(R1) = 3/8 and, P(one black ball from bag 1), P(B1) = 5/8
P(one red ball from bag 2), P(R2) = 6/10 and, P(one black ball from bag 2), P(B2) = 4/10
Now,
We have to find that,
P(one is red and other is black)
= P(R1 ∩ B2) ∪ P(B1 ∩ R2)
= P(R1) × P(B2) + P(B1) × P(R2)
= 3/8 × 4/10 + 5/8 × 6/10 = 12/80 + 30/80 = 42/80
= 21/40
Hence, The required probability = 21/40
Solution:
According to question:
It is given that,
A box contain 10 black and 8 red balls. And two balls are drawn at random with replacement.
Now,
(i) P(Both the balls are red)
= P(R1 ∩ R2)
= P(R1) × P(R2)
= 8/18 × 8/18 = 64/324
= 16/81
Required Probability = 16/81
(ii) P(The first ball is black and the second ball is red)
= P(B ∩ R)
= P(B) × P(R)
= 10/18 × 8/18 = 80/324
= 20/81
Required Probability = 20/81
(iii) P(One of them is black and the other is red)
= P((B ∩ R)∪ (R ∩ B))
= P(B ∩ R) + P(R ∩ B)
= P(B) × P(R) + P(R) × P(B)
= 10/18 × 8/18 + 8/18 × 10/18
= 20/81 + 20/81
= 40/81
Hence, The required probability = 40/81
Solution:
According to question,
It is given that,
Two cards are drawn successively without replacement. In a well - shuffled deck of cards there are total 4 ace.
Now,
P(Exactly one ace) = P(first card is ace) + P(Second card is ace)
= 4/52 × 48/51 + 48/52 × 4/51
= 96/663
= 32/221
Hence, The required probability = 32/221
Solution:
According to question:
It is given that,
A speaks truth in 75% cases.
B speaks truth in 80% cases.
Now, P(A) = 75/100 = 3/4 and, P(A') = 1 - 75/100 = 25/100 = 1/4
P(B) = 80/100 = 4/5 and, P(B') = 1 - 80/100 = 20/100 = 1/5
Now,
P(A and B contradict each other)
= P(A ∩ B') + P(A' ∩ B)
= P(A) × P(B') + P(A') × P(B)
= 3/4 × 1/5 + 1/4 × 4/5
= 3/20 + 4/20 = 7/20
= 0.35
= 35 %
Hence, The required probability = 35 %.
Solution:
According to question:
It is given that,
P(K) = 1/3 and, P(M) = 1/5
Now,
(i) P(Both of them are selected)
= P(K ∩ M) = P(K) × P(M)
= 1/3 × 1/5 = 1/15
The required probability = 1/15
(ii) P(none of them will be selected)
= P(K' ∩ M') = P(K') × P(M')
= 1 - 1/3 × 1 - 1/5 = 2/3 × 4/5
= 8/15
The required probability = 8/15
(iii) P(at least one of them will be selected)
= 1 - P(None of them is selected)
= 1 - 8/15 [From eq(ii)]
= 7/15
The required probability = 7/15
(iv) P(only one of them will be selected)
= P(K ∩ M') + P(K' ∩ M)
= P(K) × P(M') + P(K') × P(M)
= 1/3 × 4/5 + 2/3 × 1/5
= 4/15 + 2/15 = 6/15 = 2/5
Hence, The required probability = 2/5
Solution:
According to question:
It is given that,
A bag contains 3 white, 4 red, and 5 black balls. And Two balls are
drawn one after the other, without replacement.
Now,
P(One is white and other is black)
= P((W ∩ B) ∪ (B ∩ W))
= P(W ∩ B) + P(B ∩ W)
= P(W) × P(B/W) + P(B) × P(W/B)
= 3/12 × 5/11 + 5/12 × 3/11
= 15/132 + 15/132
= 30/132 = 5/22
Hence, The required probability = 5/22.
Solution:
According to question:
It is given that,
A bag contains 8 red and 6 green balls. And Three balls are
drawn one after another without replacement.
Now,
P(at least two balls drawn are green)
= 1 - P(at most one ball is green)
= 1 - [P(first ball is green) + P(Second ball is green) + P(Third ball is green) + P(No green)]
= 1 - [6/14 × 8/13 × 7/12 + 8/14 × 6/13 × 7/12 + 8/14 × 7/13 × 6/12 + 8/14 × 7/13 × 6/12]
= 1 - [336/2184 + 336/2184 + 336/2184 + 336/2184]
= 1 - 1344/2184 = 840/2184
= 5/13
Hence, the required probability = 5/13
Solution:
According to question:
It is given that,
P(Arun get selected), P(A) = 1/4 and, P(Arun get rejected), P(A') = 3/4
P(Tarun get rejected), P(T') = 2/3
P(Tarun get selected), P(T) = 1/3
Now,
P(at least one of them is selected)
= 1 - P(none of them is selected)
= 1 - P(A' ∩ T')
= 1 - P(A') × P(T')
= 1 - 3/4 × 2/3
= 1 - 6/12 = 1 - 1/2
= 1/2
Hence, The required probability is 1/2.
Solution:
According to question:
Let E be the event occurring head.
P(E) = 1/2 and P(E') = 1/2
A wins the game in first, third and fifth throw,
P(A wins in first throw) = P(E) = 1/2
P(A wins in third throw) = P(E') × P(E') × P(E) = 1/2 × 1/2 × 1/2 = (1/2)3
Similarly, P(A wins in fifth throw) = (1/2)5
Now,
P(Wining of A)
= 1/2 + (1/2)3 + (1/2)5 + ...
= 1/2 [1 + (1/2)2 + (1/2)4 + ...]
= 1/2 [1/ (1 - (1/2)2] [Since, Sum of infinite term of g.p = a/1 - r]
= 1/2 [1/ 1 - 1/4]
= 1/2 × 4/3 = 2/3
Now, P(B wins) = 1 - P(A wins)
= 1 - 2/3 = 1/3
Hence, The required probability = 1/3
Solution:
According to question:
It is given that,
Two cards are drawn from a well-shuffled pack of 52 cards,
one after another without replacement.
There are 26 red and 26 black cards.
Now, We have to find that,
P(one red and other black card)
= P[(R ∩ B) ∪ (B ∩ R)]
= P(R ∩ B) + P(B ∩ R)
= P(R) × P(B/R) + P(B) × P(R/B)
= 26/52 × 26/51 + 26/52 × 26/51
= 26/51
Hence, the required probability 26/51.
Solution:
According to question:
It is given that,
Tickets are numbered from 1 to 10. And, Two tickets are drawn at random.
Now, Let us consider,
A = Ticket is a multiple of 5.
B = Ticket is a multiple of 4.
Since 5 and 10 are multiple of 5 . So, P(A) = 2/10 = 1/5.
and , 4, 8 are the multiple of 4. So, P(B) = 2/10 = 1/5.
Now, we have to find that,
P(one number is multiple of 5 and other is the multiple of 4)
= P[(A∩B) ∪ (B ∩ A)]
= P(A∩B) + P(B ∩ A)
= P(A)×P(B/A) + P(B) × P(A/B)
= 1/5 × 2/9 + 1/5 × 2/9
= 4/45
Hence, the required probability 4/45.
This chapter focuses on advanced probability concepts, building upon the fundamental principles covered in the earlier chapters. It delves into topics such as conditional probability, the multiplication principle, the law of total probability, Bayes' theorem, and various probability distributions. The chapter emphasizes the application of these concepts in solving complex probability problems, with a focus on formulating appropriate mathematical models and deriving accurate solutions. Through a diverse range of examples and practice problems, students are guided to develop a strong understanding of probability theory and its real-world applications in fields like statistics, decision-making, and risk analysis.