JEE Questions for Maths Probability Quiz 2 - MCQExams.com

If A and B are two events with P(Ac) = 0.3, P(B) = 0.4 and P(A ∩ Bc) = 0.5. Then, P[(B) ∕ (A ∩ Bc)] is equal to
  • 1/4
  • 1/3
  • 1/2
  • 2/3
If n positive integers are taken at random and multiplied together, then the probability that the last digit of the product is 2, 4, 6 or 8, is

  • Maths-Probability-44219.png
  • 2)
    Maths-Probability-44220.png

  • Maths-Probability-44221.png
  • None of these
let A, B and C be the three events such that P(A) = 0.3, P(B) = 0.4, P(C) = 0.8, P(A ∩ B) = 0.08 P(A ∩ C) = 0.28 and P(A ∩ B ∩ C) = 0.09. If P(A ∪ B ∪ C) ≥ 0.75, then P(B ∩ C) satisfies
  • P(B ∩ C) ≤ 0.23
  • P(B ∩ C) ≤ 0.48
  • 0.23 ≤ P(B ∩ C) ≤ 0.48
  • 0.23 ≤ P(B ∩ C) ≥ 0.48
A bag contains a white and b black balls. Two players A and B alternately draw a ball from the bag replacing the ball each time after the draw till one of them draws a white ball and wins the game. A begins the game. If the probability of A winning the game is three times that of B, then the ratio a : b is
  • 1 : 1
  • 1 : 2
  • 2 : 1
  • None of these
If P(A ∪ B) = 0.6 and P(A ∩ B) = 0.2, then the probability of exactly one of the event occurs is
  • 0.4
  • 0.2
  • 0.6
  • 0.8
If P(A) = 0.5, P(B) = 0.4, and P(A ∩ B) = 0.3, then P(A'/B') is equal to
  • 1/3
  • 1/2
  • 2/3
  • 3/4

Maths-Probability-44227.png
  • 1/3
  • 1/4
  • 1/2
  • 2/3
A person draws a card from a pack of playing cards, replaces it and shuffles the pack. He continues doing this until he draws a spade. The chance that he will fail the first two times is
  • 9/64
  • 1/64
  • 1/16
  • 9/16

Maths-Probability-44228.png
  • 9/10
  • 8/10
  • 7/10
  • 3/5
A man is known to speak the truth 3 out of 4 times. He throws a die arid reports that it is six. The probability that it
  • 3/8
  • 1/5
  • 3/4
  • None of these

Maths-Probability-44230.png
  • 1/4
  • 1/3
  • 5/7
  • 2/3
The probability that a leap year selected at random will contain either 53 Thursday or 53 Friday is
  • 3/7
  • 2/7
  • 5/7
  • 1/7
The chances to fail in Physics are 20% and the chances to fail in Mathematics are 10%. What are the chances to fail in atleast one subject?
  • 28%
  • 38%
  • 72%
  • 82%
A parents has two children. If one of them is boy, then the probability that other is also a boy, is
  • 1/2
  • 1/4
  • 1/3
  • None of these
A person draws out two balls successively from a bag containing 6 red and 4 white balls. The probability that atleast one of them will be red, is
  • 78/90
  • 30/90
  • 48/90
  • 12/90

Maths-Probability-44233.png
  • 5/12
  • 3/8
  • 5/8
  • 1/2
For k = 1, 2, 3 the box Bk contains k red balls and (k +white balls. Let P(B1) = 1/2, P(B2) = 1/3 and P(B3) = 1/6, A box is selected at random and a ball is drawn from it. If a red ball is drawn, then the probability that it has come from box B2, is
  • 35/78
  • 14/39
  • 10/13
  • 12/13
If A and B are two independent events such that P(B) = 2/7, P(A ∪ Bc) = 0.8, then P(A) is equal to
  • 0.1
  • 0.2
  • 0.3
  • 0.4
For two events A and B, if P(A) = P(A/B) = 1/4 and P(B?A) = 1/2, then
  • A and B are independent events
  • P(A'/B) = 3/4
  • P(B'/A) = 1/2
  • All of the above
If P(A) = P(B) = x and P(A ∩ B) = P(A' ∩ B') = 1/3, then x is equal to
  • 1/2
  • 1/3
  • 1/4
  • 1/6
The probability that atleast one of the events A and B occurs is 0.6. If A and B occur simultaneously with probability 0.2, then
Maths-Probability-44234.png
  • 0.4
  • 0.8
  • 1.2
  • 1.4

Maths-Probability-44235.png

  • Maths-Probability-44236.png
  • 2)
    Maths-Probability-44237.png

  • Maths-Probability-44238.png

  • Maths-Probability-44239.png
If A and B are mutually exclusive with P(A) = (1/× P(B) and A ∪ B = S(total sample space), then P(A) is equal to
  • 2/3
  • 1/3
  • 1/4
  • 3/4
X speaks truth in 60% and Y in 50% of the cases. The probability that they contradict each other narrating the same incident is
  • 1/4
  • 1/3
  • 1/2
  • 2/3
A bag contains 3 black, 3 white and 2 red balls. One by one, three balls are drawn without replacement. The probability that the third ball is red, is
  • 2/56
  • 3/56
  • 1/56
  • 12/56
  • 14/56

Maths-Probability-44240.png
  • 1/12
  • 1/6
  • 1/15
  • 1/9
The probability that in the toss of two dice, we obtain the sum 7 or 11 is
  • 1/6
  • 1/18
  • 2/9
  • 23/108
If the probability of A to fail in an examination is 0.2 and that for B is 0.3, then probability that either A or B is fail, is
  • 0.5
  • 0.44
  • 0.8
  • 0.25
A bag A contains 4 green and 3 red balls and bag B contains 4 red and 3 green balls. One bag is taken at random and a ball is drawn and noted to be green. The probability that it comes from bag B is
  • 2/7
  • 2/3
  • 3/7
  • 1/3
A bag contains 5 white and 3 black balls and 4 balls are successively drawn out and not replaced. The probability that they are alternately of different colours, is
  • 1/196
  • 2/7
  • 1/7
  • 13/56
If events are independents and P(A) = 1/3, P(B) = 1/3 and P(C) = 1/4, then P(A' ∩ B' ∩ C') is equal to
  • 1/4
  • 1/12
  • 1/3
  • 5/12
Two dice are rolled one after the other. The probability that the number on the first is smaller than the number on the second, is
  • 1/2
  • 3/4
  • 7/18
  • 5/12
A biased coin with probability p, 0 < p < 1 of heads is tossed until a head appears for the first time. If the probability that the number of tosses required is even is 2 / 5, then p equals
  • 1/3
  • 2/3
  • 2/5
  • 3/5
A coin and six faced die, both unbiased, are thrown simultaneously. The probability of getting a head on the coin and an odd number on the die is
  • 1/2
  • 3/4
  • 1/4
  • 2/3
If A and B are two independent events such that P(A) = 1/2 and P(B) = 1/3, then P(neither A nor B) is equal to
  • 2/3
  • 1/6
  • 5/6
  • 1/3
If E and F are two independent events such that 0 < P(E) < 1 and 0 < P(F) < 1, then
  • E and Fc are independent
  • Ec and Fc are independent

  • Maths-Probability-44246.png
  • None of the above
If X denotes the sum of the numbers obtained when two fair dice are rolled, then the variance and standard deviation of X are

  • Maths-Probability-44247.png
  • 2)
    Maths-Probability-44248.png

  • Maths-Probability-44249.png

  • Maths-Probability-44250.png
If the mean and variance of a Binomial variate X are 8 and 4 respectively, then P(X
  • 265/215
  • 137/214
  • 137/16
  • 265/216

Maths-Probability-44252.png
  • 16/3
  • 4/3
  • 5/3
  • 10/3
If the mean and variance of a random variable X having a Binomial distribution are 4 and 2 respectively, then find the value of P(X =1).
  • 1/4
  • 1/16
  • 1/8
  • 1/32
A multiple choice examination has 5 questions. Each question has three alternative answers of which exactly one is correct. The probability that a student will get 4 or more correct answers just by guessing is
  • 17/35
  • 13/35
  • 11/35
  • 10/35
Consider 5 independent Bernoulli's trials each with probability of success p. If the probability of atleast one failure is greater than or equal to 31/2, the p lies in the interval

  • Maths-Probability-44254.png
  • 2)
    Maths-Probability-44255.png

  • Maths-Probability-44256.png

  • Maths-Probability-44257.png

Maths-Probability-44258.png
  • 0.77
  • 0.87
  • 0.35
  • 0.50
Two dice are thrown n times in succession. The probability of obtaining a double six atleast once is

  • Maths-Probability-44259.png
  • 2)
    Maths-Probability-44260.png

  • Maths-Probability-44261.png
  • None of these
If X is a Binomial variate with the range {0, 1, 2, 3, 4, 5, 6} and P(X == 4P(X = 4), then the parameter p of X is
  • 1/3
  • 1/2
  • 2/3
  • 3/4
If a fair coin is tossed 20 times and we get head n times, then probability that n is odd, is
  • 1/2
  • 1/6
  • 5/8
  • 7/8
A manufacturer of cotter pins knows that 5% of his product is defective. He sells pins in boxes of 100 and guarantees that not more than one pin will be defective in a box. In order to find the probability that a box will fail to meet the guaranteed quality, the probability distribution one has to employ, is
  • Binomial
  • Poisson
  • Normal
  • Exponential
A die has four blank faces and two faces marked 3. The chance of getting a total of 12 in 5 throws is

  • Maths-Probability-44262.png
  • 2)
    Maths-Probability-44263.png

  • Maths-Probability-44264.png

  • Maths-Probability-44265.png

  • Maths-Probability-44266.png
If X is a Poisson variate such that P(X == P(X =then P(X =is equal to
  • 1/2e2
  • 1/3e2
  • 2/3e2
  • 1/e2
A die is thrown 100 times, getting an even number is considered a success. The variance of the number of successes is
  • 10
  • 25
  • 18
  • 11
0:0:1


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