Home
Class 12
MATHS
The mean and variance of a binomial dist...

The mean and variance of a binomial distribution are 6 and 4 respectively, then n is

A

9

B

12

C

18

D

10

Text Solution

Verified by Experts

The correct Answer is:
(c)
Promotional Banner

Topper's Solved these Questions

  • PROBABILITY

    ARIHANT MATHS|Exercise Exercise (Single Option Correct Type Questions)|29 Videos
  • PROBABILITY

    ARIHANT MATHS|Exercise Probability Exercise 1: Single Option Single Correct Type Question|1 Videos
  • PROBABILITY

    ARIHANT MATHS|Exercise Exercise For Session 3|10 Videos
  • PERMUTATIONS AND COMBINATIONS

    ARIHANT MATHS|Exercise Exercise (Questions Asked In Previous 13 Years Exam)|28 Videos
  • PRODUCT OF VECTORS

    ARIHANT MATHS|Exercise Exercise (Questions Asked In Previous 13 Years Exam)|52 Videos

Similar Questions

Explore conceptually related problems

If the mean and variance of a binomial distribution are 9 and 6 respectively, find the number of trials.

The sum and product of the mean and variance of a binomial distribution are 3.5 and 3 respectively. Find the binomial distribution.

The mean and variance of the binomial distribution are 4 and 4/3 respectively. Find p .

True or false Mean and variance of a binomial distribution are respectively np and sqrt(npq) .

The mean and variance of a binomial distribution are (5)/(4) and (15)/(16) respectively, then value of p, is

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

The mean and variance of a random variable X having a binomial distribution are 4 and 2 respectively, then P(X=1) is

The sum of mean and variance of a binomial distribution is 15 and the sum of their squares is 117. Find the Binomial distribution.

The sum of mean and variance of a binomial distribution is 20 and the sum of their squares is 208. Find the Binomial distribution.

The sum of mean and variance of a binomial distribution is 10 and the sum of their squares is 52. Find the Binomial distribution.