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  1. Asked: 3 years agoIn: Probability

    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

    8cbbb
    Added an answer about 3 years ago

    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

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  2. Asked: 3 years agoIn: Probability

    A 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

    3b788
    Added an answer about 3 years ago

    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

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  3. Asked: 3 years agoIn: Probability

    Let 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

    f13c2
    Added an answer about 3 years ago

    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

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  4. Asked: 3 years agoIn: Probability

    A die is thrown repeatedly until a six comes up. What is the sample space for this experiment?

    60df4
    Added an answer about 3 years ago

    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), …}

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  5. Asked: 3 years agoIn: Probability

    Direction: 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

    ed5a2
    Added an answer about 3 years ago

    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

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  6. Asked: 3 years agoIn: Probability

    One 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

    ebf1b
    Added an answer about 3 years ago

    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 

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  7. Asked: 3 years agoIn: Probability

    What 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

    bc1d5
    Added an answer about 3 years ago

    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

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  8. Asked: 3 years agoIn: Probability

    A bag contains 6 white and 4 black balls .2 balls are drawn at random. find the probability that they are of same colour.

    057ab
    Added an answer about 3 years ago

    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

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  9. Asked: 3 years agoIn: Probability

    Find the total number of balls in the bag
    1. 91
    2. 84
    3. 63
    4. none of these
    5. cannot be determined

    a2f3e
    Added an answer about 3 years ago

    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

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  10. Asked: 3 years agoIn: Probability

    If 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)

    2695c
    Added an answer about 3 years ago

    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.

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