A professional basketball player has an 81% success rate when shooting free throws. Let the random variable X represent the number of free throws he makes in a random sample of 10 free throws (assume this experiment meets all binomial requirements). What is the probability that he makes exactly 7 of the 10 free throws? Note: You do not need to solve for the exact probability; you just need to choose the equation below that correctly represents how you would solve for this probability. 10! -(0.81)7(0.19)10 3!7! P(X=7) = а. 10! P(X=7) = Ob. -(0.81)7(0.19)3 7! P(X=7) = Oc. 10! -(0.81)7(0.19)3 3! P(X=7) = d. 10! -(0.81)³(0.19)7 3!7! P(X =7) = (0.81)P(0.19)7 P(X=7) = 3!

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**Probability and Binomial Distribution: Calculating Success Rates**

A professional basketball player has an 81% success rate when shooting free throws. Let the random variable \(X\) represent the number of free throws he makes in a random sample of 10 free throws (assume this experiment meets all binomial requirements). What is the probability that he makes exactly 7 of the 10 free throws? Note: You do not need to solve for the exact probability; you just need to choose the equation below that correctly represents how you would solve for this probability.

### Options for the Correct Equation:

**a.**
\[ P(X = 7) = \frac{10!}{3!7!} (0.81)^7(0.19)^{10} \]

**b.**
\[ P(X = 7) = \frac{10!}{7!} (0.81)^7(0.19)^3 \]

**c.**
\[ P(X = 7) = \frac{10!}{3!} (0.81)^7(0.19)^3 \]

**d.**
\[ P(X = 7) = \frac{10!}{3!7!} (0.81)^3(0.19)^7 \]

**e.**
\[ P(X = 7) = \frac{7!}{3!} (0.81)^3(0.19)^7 \]

**f.**
\[ P(X = 7) = \frac{10!}{7!3!} (0.81)^7(0.19)^3 \]

To solve such a probability problem using the binomial distribution, the correct formula involves calculating the binomial coefficient and multiplying it by the success and failure probabilities raised to the appropriate powers. 

The correct choice for this scenario is **f.**

### Explanation:
For the binomial distribution, the probability \( P(X = k) \) of getting exactly \( k \) successes in \( n \) trials is given by:

\[ P(X = k) = \binom{n}{k} p^k (1-p)^{n-k} \]

Where:
- \(\binom{n}{k} = \frac{n!}{k!(n-k)!}\) is the binomial coefficient.
- \(p\) is the probability of success on an individual trial.
- \(
Transcribed Image Text:**Probability and Binomial Distribution: Calculating Success Rates** A professional basketball player has an 81% success rate when shooting free throws. Let the random variable \(X\) represent the number of free throws he makes in a random sample of 10 free throws (assume this experiment meets all binomial requirements). What is the probability that he makes exactly 7 of the 10 free throws? Note: You do not need to solve for the exact probability; you just need to choose the equation below that correctly represents how you would solve for this probability. ### Options for the Correct Equation: **a.** \[ P(X = 7) = \frac{10!}{3!7!} (0.81)^7(0.19)^{10} \] **b.** \[ P(X = 7) = \frac{10!}{7!} (0.81)^7(0.19)^3 \] **c.** \[ P(X = 7) = \frac{10!}{3!} (0.81)^7(0.19)^3 \] **d.** \[ P(X = 7) = \frac{10!}{3!7!} (0.81)^3(0.19)^7 \] **e.** \[ P(X = 7) = \frac{7!}{3!} (0.81)^3(0.19)^7 \] **f.** \[ P(X = 7) = \frac{10!}{7!3!} (0.81)^7(0.19)^3 \] To solve such a probability problem using the binomial distribution, the correct formula involves calculating the binomial coefficient and multiplying it by the success and failure probabilities raised to the appropriate powers. The correct choice for this scenario is **f.** ### Explanation: For the binomial distribution, the probability \( P(X = k) \) of getting exactly \( k \) successes in \( n \) trials is given by: \[ P(X = k) = \binom{n}{k} p^k (1-p)^{n-k} \] Where: - \(\binom{n}{k} = \frac{n!}{k!(n-k)!}\) is the binomial coefficient. - \(p\) is the probability of success on an individual trial. - \(
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