Home
Class 12
MATHS
In a binomial distribution the mean is 1...

In a binomial distribution the mean is 15 and variance is 10. Then, parameter n is

A

28

B

16

C

45

D

25

Text Solution

Verified by Experts

The correct Answer is:
C

(c ) Given mean, np=15
and variance, np(1-p)=10
`:. " " 1-p=(10)/(15)=(2)/(3) rArr p=(1)/(3)`
`:. " " n=15xx3=45`
Promotional Banner

Topper's Solved these Questions

  • BINOMIAL DISTRIBUTION

    MHTCET PREVIOUS YEAR PAPERS AND PRACTICE PAPERS|Exercise MHT CET Corner|6 Videos
  • BINOMIAL DISTRIBUTION

    MHTCET PREVIOUS YEAR PAPERS AND PRACTICE PAPERS|Exercise Exercise 1 (Topical problems) (Mean and Variance|7 Videos
  • APPLICATIONS OF DERIVATIVES

    MHTCET PREVIOUS YEAR PAPERS AND PRACTICE PAPERS|Exercise MHT CET CORNER|21 Videos
  • CIRCLE AND CONICS

    MHTCET PREVIOUS YEAR PAPERS AND PRACTICE PAPERS|Exercise All Questions|74 Videos

Similar Questions

Explore conceptually related problems

In a binomial distribution, the mean is 4 and variance is 3. Then its mode is

In a binomial distribution , prove that mean gt variance

In a binomial distribution, the mean is 4 and the variance is 3. What is the mode?

(a) Determine the binomial distribution whose mean is 10 and variance is 8. (b) Write its probability function.

If in a binomial distribution mean is 5 and variance is 4, write the number of trials.

Find the binomial distribution whose : (i) mean is 4 and variance is 3 (ii) mean is 9 and variance is 6.

For a binomial distribution, if mean is 8 and variance is 6, then the probability of atleast 1 success is.

Determine the binomial distribution whose mean is 20 and variance 16.

MHTCET PREVIOUS YEAR PAPERS AND PRACTICE PAPERS-BINOMIAL DISTRIBUTION-Exercise 2 (MISCELLANEOUS PROBLEM) (Mean and Variance
  1. An experiment succeeds twice as often as it fails. The probability tha...

    Text Solution

    |

  2. For a binimial variate X with n=6, if P(X=4)=(135)/(2^(12)) then its v...

    Text Solution

    |

  3. In a binomial distribution the mean is 15 and variance is 10. Then, pa...

    Text Solution

    |

  4. The mean and variance of binomial distribution are 4 exactly six succe...

    Text Solution

    |

  5. The probability that a marksman will hit a target is given as (1)/(5)....

    Text Solution

    |

  6. A carton contains 20 bulbs ,5 of which are defective. The probability ...

    Text Solution

    |

  7. Out of 800 families with 4 children each, the expected number of famil...

    Text Solution

    |

  8. A biased coin with probability p, 0ltplt1 of heads is tossed until a h...

    Text Solution

    |

  9. Five coins are tossed simultaneously. The probability that at least on...

    Text Solution

    |

  10. The mean and standard deviation of a binomial variate X are 4 and sqrt...

    Text Solution

    |

  11. In a binomial distribution B(n , p=1/4) , if the probability of at lea...

    Text Solution

    |

  12. If the mean and the variance of a binomial variable X are 2 and 1 resp...

    Text Solution

    |

  13. If X is a binomial variate with the range {0, 1, 2, 3, 4, 5, 6} and P...

    Text Solution

    |

  14. A dice has four blank faces and two faces marked 3. The change of gett...

    Text Solution

    |

  15. If a dice is thrown twice, the probability of occurrence of 4 atleast ...

    Text Solution

    |

  16. If X be binomial distribution with mean np and variance npq, then find...

    Text Solution

    |

  17. If X is a binomial variate with the range {0, 1, 2, 3, 4, 5, 6} and P...

    Text Solution

    |

  18. A man takes a step forward with probability 0.4 and backward with prob...

    Text Solution

    |

  19. A man takes a forward step with probability (.8) and backward step wit...

    Text Solution

    |

  20. The probability of India winning a test match againest England is (2)/...

    Text Solution

    |