Home
Class 12
MATHS
Mean and variance of binomial distributi...

Mean and variance of binomial distribution of random variance X are 4 and 2 respectively then `P(X = 1) = ` ……….

A

`(1)/(16)`

B

`(1)/(8)`

C

`(1)/(4)`

D

`(1)/(32)`

Text Solution

Verified by Experts

The correct Answer is:
D
Promotional Banner

Topper's Solved these Questions

  • PROBABILITY

    KUMAR PRAKASHAN|Exercise Practice Paper - 13 (Section - A (Choose the correct option))|6 Videos

  • PROBABILITY

    KUMAR PRAKASHAN|Exercise Practice Paper - 13 (Section - B (Answer the following questions))|4 Videos

  • PROBABILITY

    KUMAR PRAKASHAN|Exercise Solutions of NCERT Exemplar Problems (Fillers) |5 Videos

  • MATRICES

    KUMAR PRAKASHAN|Exercise Practice Paper - 3 (Section - D)|1 Videos

  • RELATIONS AND FUNCTIONS

    KUMAR PRAKASHAN|Exercise Practice Paper - 1 (Section - D)|2 Videos

Similar Questions

Explore conceptually related problems

Mean and variance of binomial distribution are 3 and 2 respectively then parameter n is ………..

Find the variance of the distribution:

Mean and variance of one binomial distribution are (4)/(3) and (20)/(21) respectively then p = ………….. where p is parameter.

In binomial distribution of random variable X if mean = np and variances = npq then (P(X=k))/(P(X=k-1))=……

Mean and variance of the binomial distribution is 4 and 3 respectively. Then ……….. is the probability for X = 6

In binomial distribution of random variable X if parameter n = 5 and p(X = 1) = 8 p(X = 3) , then P = ………..

The mean and standard deviation of random variable X are 10 and 5 respectively, then E((X-15)/(5))^(2)= ____

Mean and variance of random variable X are 2 and 1 respectively. Then ……….. is the probability that X takes more than one value.

The mean and variance of a binomial variable X are 2 and 1, respectivily. Find the probability that X takes values greater than 1 .

Probability distribution of random variable X is as follows : Then variance of g(X) = 2X + 3 ……….

KUMAR PRAKASHAN-PROBABILITY-Multiple Choice Questions (MCQs)
  1. The probability that a student is not a swimmer is (4)/(5). The probab...

    Text Solution

    |

  2. The probability distribution of random variable X is as follows. ...

    Text Solution

    |

  3. Mean and variance of binomial distribution of random variance X are 4 ...

    Text Solution

    |

  4. In experiment probability that event A occurs in first trail is 0.4 th...

    Text Solution

    |

  5. Probability distribution of random variable X is as follows : The...

    Text Solution

    |

  6. A random variable X has the probability distribution: For the eve...

    Text Solution

    |

  7. If a random variable X can take all non- negative integral values and ...

    Text Solution

    |

  8. The mean and standard deviation of a random variable X are 10 and 5 re...

    Text Solution

    |

  9. The probability distribution of a random variable X is given below : ...

    Text Solution

    |

  10. Mean of the following probability distribution is …………

    Text Solution

    |

  11. A fair dice is rolled 6 times. If "getting an even number" is a succes...

    Text Solution

    |

  12. A fair dice is rolled 6 times. If "getting a prime number" is a "succe...

    Text Solution

    |

  13. A bag consists of 10 balls each marked with one e digits 0 to 9. If fo...

    Text Solution

    |

  14. Mean of the binomial distribution is 100 then it standard deviation li...

    Text Solution

    |

  15. In a box there are 100 electric bulbs out of which 10 are defective. 5...

    Text Solution

    |

  16. Mean and variance of one binomial distribution are (4)/(3) and (20)/(2...

    Text Solution

    |

  17. Probability distribution of a discrete random variable X is given in t...

    Text Solution

    |

  18. Mean and variance of binomial distribution are 3 and 2 respectively th...

    Text Solution

    |

  19. The probability function of the binomial distribution is P(x)= ((6), (...

    Text Solution

    |

  20. Let X be the random variable with following probability distribution. ...

    Text Solution

    |