Suppose an NBA basketball player attempts 10 free throw shots and the number of shots he made (successfully) is recorded. Explain how this might be treated as a discrete random variable.

2. A 50/50 raffle at a high school volleyball game sells 425 tickets for $2 each. Half of the proceeds go to the booster club and the other half go to one lucky winner whose ticket number is drawn. Below is the discrete probability distribution where x = profit of one ticket. Find and interpret the expected value.

Outcome	Profit	Probability
Win	423	1 out of 425
Lose	-2	424 out of 425

3. A Boeing 737 is outfitted with 110 main cabin seats. Since only 92.8% of passengers show up for flights, the airline overbooks the section with 118 passengers. Use a binomial distribution to determine the probability of the main cabin being under capacity with X<110, full to capacity with X=110, and over capacity with X>110.

4. Explain how using a contingency table to determine dependence of events could be used to observe inequity or social injustice in a dataset.