Ncert Solutions Maths class 12th
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93. If A and B are two events such that P (A) ≠ 0 and P(B|A) = 1, then:
(A) A ⊂ B
(B) B ⊂ A
(C) B = Φ
(D) A = Φ
93. If A and B are two events such that P (A) ≠ 0 and P(B|A) = 1, then:
(A) A ⊂ B
(B) B ⊂ A
(C) B = Φ
(D) A = Φ
93. and
Therefore, option (A) is correct.
92. Bag I contains 3 Red and 4 Black balls and B II contains 4 Red and % Black balls. One ball is transferred from Bag I to bag II and then a ball is drawn from bag II. The ball so drawn is found to be Red in colour. Find the probability that the transferred ball is Black.
92. Bag I contains 3 Red and 4 Black balls and B II contains 4 Red and % Black balls. One ball is transferred from Bag I to bag II and then a ball is drawn from bag II. The ball so drawn is found to be Red in colour. Find the probability that the transferred ball is Black.
92. Let E1 = Ball transferred from Bag I to Bag II is red
E2 = Ball transferred from Bag I to Bag Ii is black
A = Ball drawn from Bag II is red in colour
P (E1) =3/7 and P (E2) = 4/7
Let A be the event that the ball drawn is red.
When a red ball is transferred from bag I to II,
P (A | E1) = 5/10 = 1/2
Whe
91. An electronic assembly consists of two sub-systems say A and B. From previous testing procedures, the following probabilities are assumed to be known:
P (A fails) = 0.2
P (B fails alone) = 0.15
P (A and B fail) = 0.15
Evaluate the following probabilities.
91. An electronic assembly consists of two sub-systems say A and B. From previous testing procedures, the following probabilities are assumed to be known:
P (A fails) = 0.2
P (B fails alone) = 0.15
P (A and B fail) = 0.15
Evaluate the following probabilities.
91. Let the event in which A fails and B fails be denoted by EA and EB.
P (EA) = 0.2
P (EA ∩ EB) = 0.15
P (B fails alone) = P (EB) − P (EA ∩ EB)
⇒ 0.15 = P (EB) − 0.15
⇒ P (EB) = 0.3
(ii) P (A fails alone) = P (EA) − P (EA ∩ EB)
= 0.2 − 0.15
= 0.05
90. If each element of a second order determinant is either zero or one, what is the probability that the value of the determinant is positive? (Assume that the individual entries of the determinant are chosen independently, each value being assumed with probability 1/2).
90. If each element of a second order determinant is either zero or one, what is the probability that the value of the determinant is positive? (Assume that the individual entries of the determinant are chosen independently, each value being assumed with probability 1/2).
90. There are four entries in a determinant of 2 x 2 order. Each entry may be filled up in two ways with 0 or 1.
Number of determinants that can be formed = (2)4 = 16
The value of determinants is positive in the following cases:
Therefore, the probability that the determinant is positive = 3
89. Assume that the chances of a patient having a heart attack is 40%. It is also assumed that a meditation and yoga course reduces the risk of heart attack by 30% and prescription of certain drug reduces its chances by 25%. At a time a patient can choose any one of the two options with equal probabilities. It is given that after going through one of the two options the patient selected at random suffers a heart attack. Find the probability that the patient followed a course of meditation and yoga.
89. Assume that the chances of a patient having a heart attack is 40%. It is also assumed that a meditation and yoga course reduces the risk of heart attack by 30% and prescription of certain drug reduces its chances by 25%. At a time a patient can choose any one of the two options with equal probabilities. It is given that after going through one of the two options the patient selected at random suffers a heart attack. Find the probability that the patient followed a course of meditation and yoga.
89. A patient has options to have the treatment of yoga and meditation and that of prescription of drugs.
Let these events be denoted by E1 and E2 i.e.,
E1 = Treatment of yoga and meditation
E2 = Treatment of prescription of certain drugs
P (E1) = P (E2) = 1/2
Let A denotes that a pe
88. Suppose we have four boxes A, B, C and D containing coloured marbles as given below:
Box
Marble colour
Red
White
Black
A
B
C
D
1
6
8
0
6
2
1
6
3
2
1
4
One of the boxes has been selected at random and a single marble is drawn from it. If the marble is red, what is the probability that it was drawn from box A?, box B? box C?
88. Suppose we have four boxes A, B, C and D containing coloured marbles as given below:
|
Box |
Marble colour |
||
|
|
Red |
White |
Black |
|
A B C D |
1 6 8 0 |
6 2 1 6 |
3 2 1 4 |
One of the boxes has been selected at random and a single marble is drawn from it. If the marble is red, what is the probability that it was drawn from box A?, box B? box C?
88. Let R be the event of drawing the red marble.
Let EA, EB, and EC respectively denote the events of selecting the box A, B, and C.
Total number of marbles = 40
Number of red marbles = 15
P (R) = 15/40 = 3/8
Probability of drawing the red marble from box A is given by P (EA|R).
Probability that the
87. In a game a man wins a rupee for a six and looses a rupee for any other number when a fair die is thrown. The man decided to throw a die thrice but to quit as and when he gets a six. Find the expected value of the amounts he wins/looses.
87. In a game a man wins a rupee for a six and looses a rupee for any other number when a fair die is thrown. The man decided to throw a die thrice but to quit as and when he gets a six. Find the expected value of the amounts he wins/looses.
87. When a die is thrown, then probability of getting a six = 16
then, probability of not getting a six = 1 - 16 = 56
If the man gets a six in the first throw, then
probability of getting a six = 16
If he does not get a six in first throw, but gets a six in second throw, then
probability of getting a six
86. How many times must a man toss a fair coin so that the probability of having at least one head is more than 90%?
86. How many times must a man toss a fair coin so that the probability of having at least one head is more than 90%?
86. Let the man toss the coin n times. The n tosses are n Bernoulli trials.
Probability (p) of getting a head at the toss of a coin is 1/2.
∴ p = 1/2 ⇒ q = 1/2
It is given that,
P (getting at least one head) > 90/100
P (x ≥ 1) > 0.9
⇒ 1 − P (x&nb
85. An experiment succeeds twice as often as it fails. Find the probability that in the next six trails, there will be at least 4 successes.
85. An experiment succeeds twice as often as it fails. Find the probability that in the next six trails, there will be at least 4 successes.
85. The probability of success is twice the probability of failure.
Let the probability of failure be x.
∴ Probability of success = 2x
Let and
Let X be the random variable that represents the number of successes in six trials.
By binomial distribution, we obtain
Probability of at lea
84. If a leap year is selected at random, what is the change that it will contain 52 Tuesday?
84. If a leap year is selected at random, what is the change that it will contain 52 Tuesday?
84. A leap year has 366 days which means 52 complete weeks and 2 days. If any one of these two days in a Tuesday, then the year will have 53 Tuesdays.
Number of total days in a week = 7
Number of favourable days = 2
Therefore, P (the year will have 53 Tuesday) = 2/7