If m things are distributed among a men and b women. Then, the ch

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 Multiple Choice QuestionsMultiple Choice Questions

231.

A fair coin is tossed n times. If the probability of getting 7 heads is equal to the probability of getting 9 heads, then the value of n will be

  • 8

  • 13

  • 15

  • None of these


232.

The probabilities of solving a question by three students
are 12, 14, 16 respectively. What is the probability that the question is solved ?

  • 3548

  • 148

  • 1116

  • 211


233.

A and B are two independent events. Probability of happening of both A and B is 1/6 and probability of happening of neither of them is 1/3, then the probability of events A and B are respectively

  • 12 and 13

  • 15 and 16

  • 12 and 16

  • 23 and 14


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234.

If m things are distributed among a men and b women. Then, the chance that the number of things received by men is odd, is

  • b - am - b + am2b + am

  • b + am - b - am2b + am

  • b + am - b - amb + am

  • None of these


B.

b + am - b - am2b + am

A particular thlng is received by a man with a probability, p = aa + b - and by a woman with probabiliy, q = ba+ b

Now, this expenment 1s repeated m times. Since, probability in each trial remains same for the men or women Thus, we can apply binomial dstributon.

Since, men should get odd number of things, so the random vanable x would have x = 1, 3, 5, ..

 Required probability    = PX = 1 +P(X = 3) +P(X = 5) + ..    = C1mpqm - 1 + C3mp3qm - 3 + C5mp5qm-5 + ...   = q + pm - q - pm2   = 1 - ba +b - aa + bm2         p + q = 1   = b + am - b - am2b + am


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235.

If 0 < P(A) < 1, 0 < P(B) < 1 and P(A  B) = P(A) + P(B) - P(A)P(B),then

  • PA  BC = PACPBC

  • P(A/B) = P(A)

  • Both (a) and (b) are  true

  • None of the above


236.

Find the binomial probability distribution whose mean is 3 and variance is 2.

  • 23 + 139

  • 53 + 239

  • 33 + 129

  • None of these


237.

For a binominal variate X, if n = 4 and P(X = 4) = 6P(X = 2), then the value of p is

  • 37

  • 47

  • 67

  • 57


238.

In binomial distribution the probability of getting success is 14 and the standard deviation is 3. Then, its mean is

  • 6

  • 8

  • 10

  • 12


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239.

If the mean of a poisson distribution is 12, then the ratio of P(X = 3) to P(X = 2) is

  • 1 : 2

  • 1 : 4

  • 1 : 6

  • 1 : 8


240.

A random variable X takes the values 0, 1 and 2. If P(X = 1) = P(X = 2) and P(X = 0) = 0.4, then the mean of the random variable X is

  • 0.2

  • 0.7

  • 0.5

  • 0.9


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