In a snooker tournament, the fifirst player that wins 5 out of 9 games wins. Suppose that the probability that Steve Davis beats Ding Junhui in one game is 0.45. Find the probability that Steve wins at the 7th game 3.77% B. 4.07% C. 0.37% D. 2.14%

In a jury trial, suppose the probability the defendant is convicted given guilt, is 0.95, and the probability the defendant is acquitted given innocence is 0.95. Suppose 90% of defendants are truly guilty. Given that the defendant is convicted, find the probability that he was actually guilty.

Suppose the probability of Ann getting a hit in softball is .314. What is the probability that Ann gets at least one hit in her next 8 attempts?

Suppose that 35% of people own dogs. If you pick two people at random, what is the probability that they both own a dog?Give your answer as a decimal (to at least 3 places) or fraction

An urn contains 4 white balls and 2 red balls. A second urn contains 8 white balls and 1 red ball. An urn is selected and a ball is randomly drawn from the selected urn. The probability of selecting the first urn is .75. If the ball is white, find the probability that the first urn was selected.

An urn contains five white balls and six red balls. The second urn contains 8 white balls and four red balls. An urn is selected and a ball is randomly drawn from the selected urn. The probability of selecting the first urn is .75. If the ball is red, find the probability that the second urn was selected.

The probability of working on Saturday is 0.52. The probability of working on Sunday is 0.61. The probability of not working on either day is 0.12. What is the probability that you work both days?

The probability that a child will like a new flavor of ice cream is 0.72. In a group of nine children find the probability that at least 7 children like the new flavor.

A (blindfolded) marksman finds that on the average he hits the target 4 times out of 5. If he fires 4 shots, the probability of more than 2 hits  is...? a. 0.8192  b. 0.55 c. 0.45 d. 0.66 e. 0.031

At a local​ company, 15​% of the employees are women. Every​ day, 7​% of the women bring their lunch to​ work, while only 3​% of the men bring lunch. Find the probability that a randomly selected employee is a woman given that the person brings their lunch to work.   A. 0.150 B. 0.011 C. 0.708 D. 0.292 E. 0.070