Questions: Assume that a procedure yields a binomial distribution with a trial repeated n=18 times. Use either the binomial probability formula (or a technology like Excel or StatDisk) to find the probability of k=7 successes given the probability p=37 / 60 of success on a single trial.
(Report answer accurate to 4 decimal places.)
Transcript text: Assume that a procedure yields a binomial distribution with a trial repeated $n=18$ times. Use either the binomial probability formula (or a technology like Excel or StatDisk) to find the probability of $k=7$ successes given the probability $p=37 / 60$ of success on a single trial.
(Report answer accurate to 4 decimal places.)
Solution
Solution Steps
Step 1: Define the Problem
We are tasked with finding the probability of obtaining exactly \( k = 7 \) successes in a binomial distribution where the number of trials is \( n = 18 \) and the probability of success on a single trial is \( p = \frac{37}{60} \).
Step 2: Binomial Probability Formula
The probability of obtaining exactly \( k \) successes in \( n \) trials for a binomial distribution is given by the formula:
\[
P(X = k) = \binom{n}{k} \cdot p^k \cdot q^{n-k}
\]
where:
\(\binom{n}{k}\) is the binomial coefficient, calculated as \(\frac{n!}{k!(n-k)!}\),
\(p\) is the probability of success on a single trial,
\(q = 1 - p\) is the probability of failure on a single trial.
Step 3: Calculate the Probability
Substitute the given values into the formula:
\(n = 18\),
\(k = 7\),
\(p = \frac{37}{60}\),
\(q = 1 - \frac{37}{60} = \frac{23}{60}\).
The probability is calculated as:
\[
P(X = 7) = \binom{18}{7} \cdot \left(\frac{37}{60}\right)^7 \cdot \left(\frac{23}{60}\right)^{11}
\]
Step 4: Result
The calculated probability of exactly 7 successes is:
\[
P(X = 7) = 0.0283
\]
Final Answer
The probability of obtaining exactly 7 successes in 18 trials is \(\boxed{0.0283}\).