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A student takes a quiz consisting of 5 multiple choice questions. Each question has 4 possible answers. If a student is guessing the answer at random and answer to different are independent, then the probability of atleast one correct answer is
1. 0.237
2. 0.00076
3. 0.7627
4. 1
Correct Answer - Option 3 : 0.7627Concept: If there can be only 2 cases of true and false, then:Probability of r true cases out of n (≥ r) P(x = r) = nCr prq(n-r) where p is the probability of case being true and q is probability of case being falseNote: p and q are ≤ 1 Calculation:The probability oRead more
Correct Answer – Option 3 : 0.7627
Concept:
If there can be only 2 cases of true and false, then:
Probability of r true cases out of n (≥ r) P(x = r) = nCr prq(n-r)
where p is the probability of case being true and q is probability of case being false
Note: p and q are ≤ 1
Calculation:
The probability of correct answer p = \(\rm 1\over 4\) = 0.25
The probability of wrong answer q = \(\rm 3\over 4\) = 0.75
Total questions n = 5
Probability of atleast one correct answer (x ≥ 1):
P(x ≥ 1) = 1 – P(x = 0)
⇒ P(x ≥ 1) = 1 – 5C0 p0q5
⇒ P(x ≥ 1) = 1 – (0.75)5
⇒ P(x ≥ 1) = 1 – 0.2373
⇒ P(x ≥ 1) \(\boldsymbol{\rm \approx}\) 0.7627
See lessA bucket contains 6 Red, 4 Yellow, and 7 white balls. A ball is taken from the bucket. What is the probability of it to being a Yellow ball?
1. 6/17
2. 4/17
3. 8/21
4. 4/19
Correct Answer - Option 2 : 4/17Formula used: P(E) = (Favorable events)/(Total events)Calculations:Total possible events = Total number of balls = 6 + 4 + 7 = 17Favorable events = Total number of yellow balls = 4P(E) = 4/17∴ The probability of it to being a Yellow ball is 4/17
Correct Answer – Option 2 : 4/17
Formula used:
P(E) = (Favorable events)/(Total events)
Calculations:
Total possible events = Total number of balls = 6 + 4 + 7 = 17
Favorable events = Total number of yellow balls = 4
P(E) = 4/17
∴ The probability of it to being a Yellow ball is 4/17
See lessLet U = {1, 2, 3, …., 20}. Let A, B, C be the subsets of U. Let A be the set of all numbers which are perfect squares, B be the set of all numbers which are multiples of 5 and C be the set of all numbers which are divisible by 2 and 3.
Consider the following statements:
1. A, B, C are mutually exclusive.
2. A, B, C are mutually exhaustive.
3. The number of elements in the complement set of A ∪ B is 12.
Which of the statements given above the correct?
1. 1 and 2 only
2. 1 and 3 only
3. 2 and 3 only
4. 1, 2 and 3
Correct Answer - Option 2 : 1 and 3 onlyConcept:Let U be the universal set and A, B, C be the subsets of U.If \(\rm A∩ B ∩ C = \phi\) then A, B, C are mutually exclusive. Çalculations:Given, U = {1, 2, 3, ...., 20}.Let A, B, C be the subsets of U.A be the set of all numbers which are perfect squareRead more
Correct Answer – Option 2 : 1 and 3 only
Concept:
Let U be the universal set and A, B, C be the subsets of U.
If \(\rm A∩ B ∩ C = \phi\) then A, B, C are mutually exclusive.
Çalculations:
Given, U = {1, 2, 3, …., 20}.
Let A, B, C be the subsets of U.
A be the set of all numbers which are perfect squares
⇒ A = {1, 4, 9 16}
B be the set of all numbers which are multiples of 5
⇒ B = {5, 10, 15, 20}
and C be the set of all numbers, which are divisible by 2 and 3
⇒ C = {6, 12, 18}
Now, \(\rm A∩ B ∩ C = \phi\)
So, Å, B, C are mutually exclusive.
Hence statement 1 is correct
Here Å, B, C are mutually exclusive so A, B, C can’t be mutually exhaustive
Hence statement 2 is wrong
A ∪ B = {1, 4, 5, 9, 10, 15, 16, 20}
n(A ∪ B) = 8
U = {1, 2, 3, …., 20}
n(U) = 20
Now, The number of elements in the complement set of A ∪ B = n(U) – n(A ∪ B) = 20 – 8 = 12
Hence statement 3 is correct
See lessA die is thrown repeatedly until a six comes up. What is the sample space for this experiment?
In this experiment, six may come up on the first throw, the second throw, the third throw and so on till six is obtained.Hence, the sample space of this experiment is given byS = {6, (1, 6), (2, 6), (3, 6), (4, 6), (5, 6), (1, 1, 6), (1, 2, 6), … , (1, 5, 6), (2, 1, 6), (2, 2, 6), … , (2, 5, 6), … ,Read more
In this experiment, six may come up on the first throw, the second throw, the third throw and so on till six is obtained.
Hence, the sample space of this experiment is given by
S = {6, (1, 6), (2, 6), (3, 6), (4, 6), (5, 6), (1, 1, 6), (1, 2, 6), … , (1, 5, 6), (2, 1, 6), (2, 2, 6), … , (2, 5, 6), … ,(5, 1, 6), (5, 2, 6), …}
See lessDirection: Given below are two quantities named I and II. Based on the given information, you have to determine the relation between the two quantities. You should use the given data and your knowledge of Mathematics to choose among the possible answers.
Quantity I: A bag contains 5 red, 3 black, 4 yellow, and 4 pink pens. If 4 pens are drawn at random, find the probability that 2 pens are red and 2 pens are black.
Quantity II: Find the probability such that all 4 jacks are drawn when 5 cards are drawn at random from a pack of 52 cards.
1. Quantity I ≤ Quantity II
2. Quantity I ≥ Quantity II
3. Quantity I ˃ Quantity II
4. Quantity I ˂ Quantity II
5. Quantity I = Quantity II
Correct Answer - Option 3 : Quantity I ˃ Quantity IIQuantity I:Total number of outcomes = 16C4⇒ 16!/(4! × 12!)⇒ (16 × 15 × 14 × 13 × 12!) / (4 × 3 × 2 × 1 × 12!)⇒ 1820Number of favourable outcomes = 5C2 × 3C2⇒ 30⇒ Required probability = 30/1820⇒ 0.0165 (approx)Quantity II:Total number of possible waRead more
Correct Answer – Option 3 : Quantity I ˃ Quantity II
Quantity I:
Total number of outcomes = 16C4
⇒ 16!/(4! × 12!)
⇒ (16 × 15 × 14 × 13 × 12!) / (4 × 3 × 2 × 1 × 12!)
⇒ 1820
Number of favourable outcomes = 5C2 × 3C2
⇒ 30
⇒ Required probability = 30/1820
⇒ 0.0165 (approx)
Quantity II:
Total number of possible ways to drawn a card = 52C5
⇒ 52!/(5! × 47!)
⇒ (52 × 51 × 50 × 49 × 48 × 47!)/ (5 × 4 × 3 × 2 × 1 × 47!)
⇒ 2598960
Number of sets of 5 with all are jack = 4C4 × 48C1
⇒ 1 × (48 × 47!) / (1! × 47!) = 48
⇒ P(E ) = 48/2598960
⇒ 1/54145
⇒ 0.000018(approx)
∴ Quantity I > Quantity II
See lessOne card is drawn at random from a pack of 52 cards. Then find the probability that the card is either red card or a king?
1. 5/13
2. 8/13
3. 9/13
4. 7/13
Correct Answer - Option 4 : 7/13Formula used:P(E) = (Favorable events)/(Total events)CalculationTotal red card = 13 heart + 13 diamond = 26King = 4Total favorable events = The card is either red card or a king = 26 + 4 – 2 = 28P(E) = 28/52 = 7/13∴ The required probability is 7/13
Correct Answer – Option 4 : 7/13
Formula used:
P(E) = (Favorable events)/(Total events)
Calculation
Total red card = 13 heart + 13 diamond = 26
King = 4
Total favorable events = The card is either red card or a king = 26 + 4 – 2 = 28
P(E) = 28/52 = 7/13
∴ The required probability is 7/13
See lessWhat is the probability of getting a sum of 8 from two thrown throws of a dice?
1. 7/9
2. 8/36
3. 1/6
4. 5/36
Correct Answer - Option 4 : 5/36Formula used:P(E) = (Favorable events)/(Total events)Calculations:In two throws of a dice = n(S) = 6 × 6 = 36Events = {(6,2) (5,3) (4, 4) (2,6) (3,5)}P(E) = 5/36∴ The probability of getting a sum of 8 from two thrown throws of a dice is 5/36
Correct Answer – Option 4 : 5/36
Formula used:
P(E) = (Favorable events)/(Total events)
Calculations:
In two throws of a dice = n(S) = 6 × 6 = 36
Events = {(6,2) (5,3) (4, 4) (2,6) (3,5)}
P(E) = 5/36
∴ The probability of getting a sum of 8 from two thrown throws of a dice is 5/36
See lessA bag contains 6 white and 4 black balls .2 balls are drawn at random. find the probability that they are of same colour.
let S be the sample space Then n(S)=no of ways of drawing 2 balls out of (6+4)=10c2=(10*9)/(2*1)=45 Let E=event of getting both balls of same colour Then n(E)=no of ways(2 balls out of six) or(2 balls out of 4)=(6 c2+4 c2)=(6*5)/(2*1)+(4*3)/(2*1)=15+6=21P(E)=n(E)/n(S)=21/45=7/15
let S be the sample space
Then n(S)=no of ways of drawing 2 balls out of (6+4)=10c2=(10*9)/(2*1)=45
Let E=event of getting both balls of same colour
Then n(E)=no of ways(2 balls out of six) or(2 balls out of 4)
=(6 c2+4 c2)=(6*5)/(2*1)+(4*3)/(2*1)=15+6=21
P(E)=n(E)/n(S)=21/45=7/15
See lessFind the total number of balls in the bag
1. 91
2. 84
3. 63
4. none of these
5. cannot be determined
Correct Answer - Option 3 : 63Calculation:Let the number of green balls and blue balls present in the bag be 'g' and 'b' respectivelyAlso, number of red balls = 17Total number of balls = (17 + g + b)Probability of drawing a red ball = 17/(17 + g + b)Probability of drawing a green ball = g/(17 + g +Read more
Correct Answer – Option 3 : 63
Calculation:
Let the number of green balls and blue balls present in the bag be ‘g’ and ‘b’ respectively
Also, number of red balls = 17
Total number of balls = (17 + g + b)
Probability of drawing a red ball = 17/(17 + g + b)
Probability of drawing a green ball = g/(17 + g + b)
Probability of drawing a blue ball = b/(17 + g + b)
Now a/q we have
⇒ g/(17 + g + b) = 1/7 + 17/(17 + g + b)
⇒ (g – 17)/(17 + g + b) = 1/7
⇒ 6g – b = 136 …..(i)
also,
⇒ b/(17 + g + b) = 1/21 + 17/(17 + g + b)
⇒ (b – 17)/(17 + g + b) = 1/21
⇒ 20b – g = 374 …..(ii)
using equation (i) and (ii), we get
g = 26, b = 20
∴ Required total number of balls in the bag = (26 + 20 + 17) = 63
See lessIf two events are Mutually Exclusive then which of the following holds good?
(a) Events whose occurrence do not depend on the occurrence of any other events
(b) The occurrence of one precludes the occurrence of the other
(c) P(A∩B)= 0
(d) P(A ∩ B) = P(A)+ P(B)
Correct option (b) and (c) [ P(A ∩ B) = 0]Explanation:Examples of Mutually Exclusive Events: 1. In a soccer game scoring no goal (event A) and scoring exactly one goal (event B). 2. In a deck of cards Kings (event A) and Queens (event B). Examples Not Mutually Exclusive Events: In a deck of cards KiRead more
Correct option (b) and (c) [ P(A ∩ B) = 0]
Explanation:
Examples of Mutually Exclusive Events:
1. In a soccer game scoring no goal (event A) and scoring exactly one goal (event B).
2. In a deck of cards Kings (event A) and Queens (event B).
Examples Not Mutually Exclusive Events:
In a deck of cards Kings (event A) and Hearts (event B). They have common cards i.e. Heart King. So (A ∩ B) ≠ 0.
Events whose occurrence do not depend on the occurrence of any other events are called independent events.
See less