Independent and Dependent Events
Watch this lecture series to see more various examples of calculating probabilities of independent and dependent events. When the outcome of one event depends on the outcome of another, the events are considered dependent. Complete the interactive exercises
Practice
Interpret probabilities of compound events - Answers
1. \(P\left(B_{1}^{C}\right.\) and \(\left.B_{2}^{C}\right)\) represents the probability that neither spin lands on bankrupt.
2. \(P\left(D_{1}^{C}\right.\) and \(\left.D_{2}^{C}\right)\) represents the probability that neither card is a diamond.
3. \(P\left(S_{1}^{C}\right.\) and \(\left.S_{2}^{C}\right)\) represents the probability that Youssef misses both shots.
4. \(P\left(B_{2} \mid B_{1}\right)\) represents the probability that the second spin lands on bankrupt given the first spin lands on bankrupt.