Home
Class 12
MATHS
If the sum of the mean and variance of a...

If the sum of the mean and variance of a binomial distribution for 6 trials is `(10)/(3)`, find the binomial distribution.

Text Solution

AI Generated Solution

The correct Answer is:
To solve the problem, we need to find the parameters of a binomial distribution given that the sum of the mean and variance for 6 trials is \( \frac{10}{3} \). ### Step-by-Step Solution: 1. **Identify the parameters of the binomial distribution**: The mean \( \mu \) of a binomial distribution is given by: \[ \mu = n \cdot p \] where \( n \) is the number of trials and \( p \) is the probability of success. The variance \( \sigma^2 \) of a binomial distribution is given by: \[ \sigma^2 = n \cdot p \cdot q \] where \( q = 1 - p \). 2. **Set up the equation**: We are given that the sum of the mean and variance is: \[ \mu + \sigma^2 = \frac{10}{3} \] Substituting the formulas for mean and variance into this equation gives: \[ n \cdot p + n \cdot p \cdot q = \frac{10}{3} \] Since \( n = 6 \), we can substitute this in: \[ 6p + 6p(1 - p) = \frac{10}{3} \] 3. **Simplify the equation**: Simplifying the left-hand side: \[ 6p + 6p - 6p^2 = \frac{10}{3} \] This simplifies to: \[ 12p - 6p^2 = \frac{10}{3} \] 4. **Multiply through by 3 to eliminate the fraction**: \[ 3(12p - 6p^2) = 10 \] This gives: \[ 36p - 18p^2 = 10 \] 5. **Rearrange the equation**: \[ -18p^2 + 36p - 10 = 0 \] Dividing the entire equation by -2 for simplicity: \[ 9p^2 - 18p + 5 = 0 \] 6. **Use the quadratic formula to solve for \( p \)**: The quadratic formula is given by: \[ p = \frac{-b \pm \sqrt{b^2 - 4ac}}{2a} \] Here, \( a = 9 \), \( b = -18 \), and \( c = 5 \): \[ p = \frac{18 \pm \sqrt{(-18)^2 - 4 \cdot 9 \cdot 5}}{2 \cdot 9} \] \[ p = \frac{18 \pm \sqrt{324 - 180}}{18} \] \[ p = \frac{18 \pm \sqrt{144}}{18} \] \[ p = \frac{18 \pm 12}{18} \] This gives two possible values for \( p \): \[ p = \frac{30}{18} = \frac{5}{3} \quad \text{(not valid since } p \leq 1\text{)} \] \[ p = \frac{6}{18} = \frac{1}{3} \] 7. **Find \( q \)**: Since \( q = 1 - p \): \[ q = 1 - \frac{1}{3} = \frac{2}{3} \] 8. **Write the binomial distribution**: The binomial distribution can be expressed as: \[ P(X = r) = \binom{n}{r} p^r q^{n-r} \] Substituting \( n = 6 \), \( p = \frac{1}{3} \), and \( q = \frac{2}{3} \): \[ P(X = r) = \binom{6}{r} \left(\frac{1}{3}\right)^r \left(\frac{2}{3}\right)^{6-r} \] where \( r = 0, 1, 2, 3, 4, 5, 6 \). ### Final Answer: The binomial distribution is given by: \[ P(X = r) = \binom{6}{r} \left(\frac{1}{3}\right)^r \left(\frac{2}{3}\right)^{6-r}, \quad r = 0, 1, 2, 3, 4, 5, 6 \]
Promotional Banner

Topper's Solved these Questions

  • MODEL TEST PAPER - 2

    ICSE|Exercise Section - B|10 Videos
  • MODEL TEST PAPER - 2

    ICSE|Exercise Section - C|10 Videos
  • MODEL TEST PAPER - 18

    ICSE|Exercise Section - C|10 Videos
  • MODEL TEST PAPER - 3

    ICSE|Exercise SECTION - C|10 Videos

Similar Questions

Explore conceptually related problems

If the sum of the mean and variance of a binomial distribution for 5 trials is 1.8 ; find the distribution.

A : If the difference between the mean and variance of a binomial distribution for 5 trials is 5//9 then the distribution o is (2//3+1//3)^(5) R : The binomial distribution with parameters n, p is (q+p)^(n)

The sum of variance and mean of a binomial distribution for 10 trials is 7.5. Find the distribution.

Find the mean and variance of Binomial Distribution if p=1/2 ,n=1

The sum and the product of the mean and variance of a binomial distribution are 24 and 128 respectively. Find the distribution.

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

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

If the mean and variance of a binomial distribution are 15//4 and 15//16 then the number of trials is

If the sum and the product of the mean and variance of a Binomial Distribution are 1-8 and 0.8 respectively, find the probability distribution and the probability of at least one success

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