Step 1: Understanding the Concept:
The problem provides two probabilities from a binomial distribution and asks to find the success probability parameter, \(p\). We can set up two equations using the binomial probability formula and solve for \(p\).
Step 2: Key Formula or Approach:
The binomial probability mass function is given by:
\[ P(X = k) = \binom{n}{k} p^k (1-p)^{n-k} \]
Where \(n\) is the number of trials, \(k\) is the number of successes, and \(p\) is the probability of success. A useful technique is to take the ratio of the two given probabilities to simplify the equations.
Step 3: Detailed Explanation:
We are given:
- Number of trials, \( n = 5 \).
- \( P(X = 1) = 0.4096 \).
- \( P(X = 2) = 0.2048 \).
Let's write out the equations:
1. \( P(X=1) = \binom{5}{1} p^1 (1-p)^{5-1} = 5p(1-p)^4 = 0.4096 \)
2. \( P(X=2) = \binom{5}{2} p^2 (1-p)^{5-2} = 10p^2(1-p)^3 = 0.2048 \)
Now, let's take the ratio of equation (2) to equation (1):
\[ \frac{P(X=2)}{P(X=1)} = \frac{10p^2(1-p)^3}{5p(1-p)^4} \]
Substitute the given probability values:
\[ \frac{0.2048}{0.4096} = \frac{1}{2} \]
Now, simplify the expression with the parameters:
\[ \frac{10p^2(1-p)^3}{5p(1-p)^4} = \frac{2p}{1-p} \]
Equating the two results:
\[ \frac{2p}{1-p} = \frac{1}{2} \]
Now, solve for \(p\):
\[ 2 \times (2p) = 1 \times (1-p) \]
\[ 4p = 1 - p \]
\[ 5p = 1 \]
\[ p = \frac{1}{5} \]
Step 4: Final Answer:
The parameter 'p' of the distribution is \( \frac{1}{5} \).