Step 1: Write the equations for mean and variance of a binomial distribution.
For a binomial distribution, let \(n\) be the number of trials and \(p\) be the probability of success.
The mean (\(\mu\)) is given by \(\mu = np\).
The variance (\(\sigma^2\)) is given by \(\sigma^2 = np(1-p)\).
Given:
Mean = \(x\) \(\implies np = x\)
Variance = \(5\) \(\implies np(1-p) = 5\)
Step 2: Solve for \(p\) in terms of \(x\).
Substitute \(np = x\) into the variance equation:
\[ x(1-p) = 5 \] Since \(x\) is given to be an integer and the variance is 5 (a positive value), \(x\) must be positive.
From the definition of probability, \(0 < p < 1\). This implies \(0 < 1-p < 1\).
From \(x(1-p) = 5\), we can write \(1-p = \frac{5}{x}\).
Since \(0 < 1-p < 1\), we must have: \[ 0 < \frac{5}{x} < 1 \] Since \(5 > 0\), for \(\frac{5}{x} > 0\), we must have \(x > 0\).
For \(\frac{5}{x} < 1\), and knowing \(x > 0\), we can multiply by \(x\) without changing the inequality direction:
\[ 5 < x \] So, \(x\) must be an integer greater than 5. Now, we can find \(p\): \[ p = 1 - \frac{5}{x} = \frac{x-5}{x} \] Since \(x > 5\), \(x-5 > 0\), so \(p > 0\). Also, \(x-5 < x\), so \(p < 1\). Thus, \(0 < p < 1\) is satisfied for \(x > 5\).
Step 3: Solve for \(n\) in terms of \(x\).
We know \(np = x\), so \(n = \frac{x}{p}\).
Substitute the expression for \(p\):
\[ n = \frac{x}{\frac{x-5}{x}} = \frac{x^2}{x-5} \] For a binomial distribution, \(n\) must be a positive integer.
We need \(\frac{x^2}{x-5}\) to be an integer.
We can perform polynomial division or algebraic manipulation: \[ n = \frac{x^2 - 25 + 25}{x-5} = \frac{(x-5)(x+5) + 25}{x-5} \] \[ n = (x+5) + \frac{25}{x-5} \] For \(n\) to be an integer, \((x-5)\) must be a divisor of 25.
The positive divisors of 25 are 1, 5, 25.
Since \(x\) is an integer and \(x > 5\), \(x-5\) must be a positive integer.
We consider the possible values for \(x-5\):
1. If \(x-5 = 1 \implies x = 6\).
In this case, \(p = \frac{6-5}{6} = \frac{1}{6}\), and \(n = 6+5 + \frac{25}{1} = 11 + 25 = 36\). (Valid)
2. If \(x-5 = 5 \implies x = 10\).
In this case, \(p = \frac{10-5}{10} = \frac{5}{10} = \frac{1}{2}\), and \(n = 10+5 + \frac{25}{5} = 15 + 5 = 20\). (Valid)
3. If \(x-5 = 25 \implies x = 30\).
In this case, \(p = \frac{30-5}{30} = \frac{25}{30} = \frac{5}{6}\), and \(n = 30+5 + \frac{25}{25} = 35 + 1 = 36\). (Valid)
Thus, the possible integer values for \(x\) are 6, 10, and 30.
The final answer is \(\boxed{6, 10, 30}\).
| List-I | List-II | ||
|---|---|---|---|
| (A) | $f(x) = \frac{|x+2|}{x+2} , x \ne -2 $ | (I) | $[\frac{1}{3} , 1 ]$ |
| (B) | $(x)=|[x]|,x \in [R$ | (II) | Z |
| (C) | $h(x) = |x - [x]| , x \in [R$ | (III) | W |
| (D) | $f(x) = \frac{1}{2 - \sin 3x} , x \in [R$ | (IV) | [0, 1) |
| (V) | { -1, 1} | ||
| List I | List II | ||
|---|---|---|---|
| (A) | $\lambda=8, \mu \neq 15$ | 1. | Infinitely many solutions |
| (B) | $\lambda \neq 8, \mu \in R$ | 2. | No solution |
| (C) | $\lambda=8, \mu=15$ | 3. | Unique solution |
S is the sample space and A, B are two events of a random experiment. Match the items of List A with the items of List B.
Then the correct match is:
For the probability distribution of a discrete random variable \( X \) as given below, the mean of \( X \) is: