According to a recent​ study, 9.2​% of high school dropouts are​ 16- to​ 17-year-olds. In​ addition, 5.7​% of high school dropouts are white​ 16- to​ 17-year-olds. What is the probability that a randomly selected dropout is​ white, given that he or she is 16 to 17 years​ old? ​(Round to four decimal places as​ needed.)

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msm555

Answer:

0.6196

Step-by-step explanation:

The probability of an event [tex] A [/tex] given that event [tex] B [/tex] has occurred is denoted as [tex] P(A|B) [/tex] and is calculated using the formula:

[tex]\Large\boxed{\boxed{ P(A|B) = \dfrac{P(A \cap B)}{P(B)}}} [/tex]

In this case:

Event [tex] A [/tex] is being white.

Event [tex] B [/tex] is being 16- to 17-year-olds.

The probability that a randomly selected dropout is white and 16- to 17-year-olds is [tex] P(A \cap B) = 5.7\% [/tex].

The probability that a randomly selected dropout is 16- to 17-year-olds is [tex] P(B) = 9.2\% [/tex].

Now, substitute these values into the formula:

[tex]P(\textsf{white | 16-17 years old}) = \dfrac{P(\textsf{white and 16-17 years old})}{P(\textsf{16-17 years old})}\\\\= \dfrac{5.7\%}{9.2\%} \\\\ = \dfrac{ 5.7 \div 100}{ 9.7 \div 100 } \\\\ = \dfrac{0.057}{0.092} \\\\ = 0.619565217391 \\\\= 0.6196 \textsf{( in 4 decimal places)}[/tex]

Therefore, the probability that a randomly selected dropout is white, given that he or she is 16 to 17 years old, is 0.6196.