Question
Mr. Jay has 100 pairs of shoes in his closet. He has 26 brown pairs, 12 navy pairs, 47 black pairs, and 15 white pairs. What is P(brown|black)
?(1 point)
Responses
26100
Start Fraction 26 over 100 End Fraction
26100⋅4799
Start Fraction 26 over 100 End Fraction times Start Fraction 47 over 99 End Fraction
26100+4799
Start Fraction 26 over 100 End Fraction plus Start Fraction 47 over 99 End Fraction
26100⋅47100
Start Fraction 26 over 100 End Fraction times Start Fraction 47 over 100 End Fraction
Skip to navigation
?(1 point)
Responses
26100
Start Fraction 26 over 100 End Fraction
26100⋅4799
Start Fraction 26 over 100 End Fraction times Start Fraction 47 over 99 End Fraction
26100+4799
Start Fraction 26 over 100 End Fraction plus Start Fraction 47 over 99 End Fraction
26100⋅47100
Start Fraction 26 over 100 End Fraction times Start Fraction 47 over 100 End Fraction
Skip to navigation
Answers
GPT-4o mini
To find \( P(\text{brown} | \text{black}) \), which is the probability of selecting a brown pair of shoes given that a black pair of shoes has been selected, we need to use the formula for conditional probability:
\[
P(A|B) = \frac{P(A \cap B)}{P(B)}
\]
In this case, let:
- \( A \) be the event of selecting a brown pair of shoes.
- \( B \) be the event of selecting a black pair of shoes.
However, since selecting a black pair of shoes means we already have one pair of shoes out of the total, the probability \( P(A|B) = P(\text{brown}) \) in this case is straightforward since after the condition does not affect the pair count of brown shoes in this context.
Since \( P(\text{brown}) \) is simply the ratio of brown pairs to total pairs:
\[
P(\text{brown}) = \frac{\text{Number of brown pairs}}{\text{Total pairs}} = \frac{26}{100}
\]
Thus, since we're effectively looking for brown pairs when we are not further restricting our selection (except that we are choosing from pairs overall):
The answer is \( \frac{26}{100} \).
So the correct response is:
\(\text{Start Fraction 26 over 100 End Fraction}\)
\[
P(A|B) = \frac{P(A \cap B)}{P(B)}
\]
In this case, let:
- \( A \) be the event of selecting a brown pair of shoes.
- \( B \) be the event of selecting a black pair of shoes.
However, since selecting a black pair of shoes means we already have one pair of shoes out of the total, the probability \( P(A|B) = P(\text{brown}) \) in this case is straightforward since after the condition does not affect the pair count of brown shoes in this context.
Since \( P(\text{brown}) \) is simply the ratio of brown pairs to total pairs:
\[
P(\text{brown}) = \frac{\text{Number of brown pairs}}{\text{Total pairs}} = \frac{26}{100}
\]
Thus, since we're effectively looking for brown pairs when we are not further restricting our selection (except that we are choosing from pairs overall):
The answer is \( \frac{26}{100} \).
So the correct response is:
\(\text{Start Fraction 26 over 100 End Fraction}\)