Final answer:
The probability that the third jar was selected given that a white marble was drawn is 0.500 (rounded to three decimal places).
Step-by-step explanation:
The student is asking about the probability of an event given that another event has already occurred, which is known as conditional probability. Specifically, we need to calculate the probability that the third jar was selected given that a white marble was drawn.
Let's denote the jars as J1, J2, and J3 and let 'White' be the event of drawing a white marble. First, we calculate the probability of drawing a white marble from each jar:
- P(White | J1) = 3/10 (from the first jar)
- P(White | J2) = 7/10 (from the second jar)
- P(White | J3) = 10/10 (from the third jar)
Since each jar has an equal probability of being selected (1/3), using Bayes' theorem, the probability that the third jar was selected given that a white marble was drawn is:
P(J3 | White) = (P(White | J3) × P(J3)) / (P(White | J1) × P(J1) + P(White | J2) × P(J2) + P(White | J3) × P(J3))
Substituting the probabilities we have:
P(J3 | White) = ((10/10) × (1/3)) / ((3/10) × (1/3) + (7/10) × (1/3) + (10/10) × (1/3))
P(J3 | White) = (1/3) / ((3/30) + (7/30) + (10/30))
P(J3 | White) = (1/3) / (20/30)
P(J3 | White) = (1/3) / (2/3)
P(J3 | White) = 0.500 (rounded to three decimal places)