Respuesta :
Answer:
59.92% probability he will get at least 2 hits in the game.
Step-by-step explanation:
For each at bat, there are only two possible outcomes. Either he gets a hit, or he does not. The probability of a getting a hit in each at bat is independent. So we use the binomial probability distribution to solve this question.
Binomial probability distribution
The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.
[tex]P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}[/tex]
In which [tex]C_{n,x}[/tex] is the number of different combinations of x objects from a set of n elements, given by the following formula.
[tex]C_{n,x} = \frac{n!}{x!(n-x)!}[/tex]
And p is the probability of X happening.
In this problem we have that:
[tex]p = 0.212[/tex]
In one game, he gets 9 at bats. What is the probability he will get at least 2 hits in the game?
This is [tex]P(X \geq 2)[/tex] when [tex]n = 9[/tex]
He either gets less than two hits in the game, or he gets at least two hits. The sum of the probabilities of these events is decimal 1. So
[tex]P(X < 2) + P(X \geq 2) = 1[/tex]
[tex]P(X \geq 2) = 1 - P(X < 2)[/tex]
In which
[tex]P(X < 2) = P(X = 0) + P(X = 1)[/tex]
[tex]P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}[/tex]
[tex]P(X = 0) = C_{9,0}.(0.212)^{0}.(0.788)^{9} = 0.1171[/tex]
[tex]P(X = 1) = C_{9,1}.(0.212)^{1}.(0.788)^{8} = 0.2837[/tex]
[tex]P(X < 2) = P(X = 0) + P(X = 1) = 0.1171 + 0.2837 = 0.4008[/tex]
Finally
[tex]P(X \geq 2) = 1 - P(X < 2) = 1 - 0.4008 = 0.5992[/tex]
59.92% probability he will get at least 2 hits in the game.