A basketball player makes 39% of her shots from the free throw line. Suppose that each of her shots can be considered independent and that she throws 3 shots. Let X = the number of shots that he makes. What is the probability that she makes 2 shots?

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A common discrete distribution used in statistics, as opposed to a continuous distribution is called a Binomial distribution. The probability that she makes 2 shots is 27.83%.

What is Binomial distribution?

A common discrete distribution used in statistics, as opposed to a continuous distribution is called a Binomial distribution. It is given by the formula,

P(x) = ⁿCₓ (pˣ) (q⁽ⁿ⁻ˣ⁾)

Where,

x is the number of successes needed,

n is the number of trials or sample size,

p is the probability of a single success, and

q is the probability of a single failure.

Given that a basketball player makes 39% of her shots from the free throw line. Therefore, we can write the value of p and q as,

p = 0.39

q = 1 - 0.39 = 0.61

As the number of independent shots that a basketball player makes is 3. Therefore, the probability that she makes 2 shots is,

P(X = 2) = ³C₂ (0.39)² (0.61)¹

             = 0.2783

             = 27.83%

Hence, the probability that she makes 2 shots is 27.83%.

Learn more about Binomial Distribution:

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