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Answer :
Final answer:
The probability mass function (PMF) for the variable X, the number of bullets that hit the target, is:
P(X = 0) = 0.0625
P(X = 1) = 0.375
P(X = 2) = 0.5625
Explanation:
To find the probability mass function (PMF) for the variable X, the number of bullets that hit the target, we can use the binomial distribution. The binomial distribution is used to calculate the probability of a certain number of successes in a fixed number of independent Bernoulli trials, where each trial has the same probability of success.
In this case, we have two independent trials, as there are two marksman shooting at the target. Each marksman has a probability of 0.75 of hitting the target with their final bullet. Therefore, the probability of hitting the target is 0.75 for each marksman.
The possible values of X, the number of bullets that hit the target, range from 0 to 2. We can calculate the PMF for each possible value of X using the binomial distribution formula:
P(X = k) = C(n, k) * p^k * (1 - p)^(n - k)
Where:
- P(X = k) is the probability that X takes the value k
- C(n, k) is the number of combinations of n items taken k at a time
- p is the probability of success in a single trial
- n is the number of trials
- k is the number of successes
Using this formula, we can calculate the PMF for each possible value of X:
P(X = 0) = C(2, 0) * 0.75^0 * (1 - 0.75)^(2 - 0) = 0.0625
P(X = 1) = C(2, 1) * 0.75^1 * (1 - 0.75)^(2 - 1) = 0.375
P(X = 2) = C(2, 2) * 0.75^2 * (1 - 0.75)^(2 - 2) = 0.5625
Therefore, the correct probability mass function for the variable X is:
P(X = 0) = 0.0625
P(X = 1) = 0.375
P(X = 2) = 0.5625
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