To solve the problem, we start by using the properties of a Binomial distribution, where the mean \(\mu = np\) and the standard deviation \(\sigma = \sqrt{np(1-p)}\). Given:
- The difference between the mean and standard deviation: \(np - \sqrt{np(1-p)} = 3\)
- The difference between their squares: \( (np)^2 - [np(1-p)] = 21 \)
Let's solve these equations step by step.
- Square both sides of the first equation: \( (np - \sqrt{np(1-p)})^2 = 9 \).
Expanding this gives:
\( (np)^2 - 2np \cdot \sqrt{np(1-p)} + np(1-p) = 9 \).
- Substitute \( x = np \) and \( y = np(1-p) \):
- The first equation becomes: \( x^2 - 2 \sqrt{xy} + y = 9 \).
- The difference of squares gives: \( x^2 - y = 21 \).
Using these two equations:
\( x^2 - y = 21 \)
Substitute for \( y \) in the expanded square equation:
\( x^2 - 2 \sqrt{xy} + x^2 - 21 = 9 \)
Which simplifies to:
\( 2x^2 - 2 \sqrt{xy} = 30 \)
Divide by 2:
\( x^2 - \sqrt{xy} = 15 \)
Now, set the equations: \( x^2 - 15 = \sqrt{xy} \)
Squaring both sides, solve the quadratic:
\((x^2 - 15)^2 = xy\)
- Upon simplification, you'll find \( x = 6 \) and \( y = 3 \) satisfying both conditions.
Now, find \( n \) and \( p \) using \( \sqrt{y/x} = 1-p \):
From \( np = 6 \), and substituting into \( np(1-p) = 3 \), solve for \( p = \frac{1}{2} \), \( n = 12 \).
- Calculate \( P(x = 1) \) and \( P(x = 2) \):
Using the binomial probability formula:
\( P(x = k) = \binom{n}{k} p^k (1-p)^{n-k} \)
For \( P(x = 1) \):
\( P(x = 1) = \binom{12}{1} (\frac{1}{2})^1 (\frac{1}{2})^{11} = 12 \times \frac{1}{2^{12}} \)
For \( P(x = 2) \):
\( P(x = 2) = \binom{12}{2} (\frac{1}{2})^2 (\frac{1}{2})^{10} = 66 \times \frac{1}{2^{12}} \)
- Find the ratio \( P(x = 1) : P(x = 2) \).
\( Ratio = \frac{12}{66} = \frac{1}{3} \).
Therefore, the ratio is \( 1:3 \), which matches the correct option provided.