1) Explain why P(X=2) = P(X=3) in a binomial distribution where n=5 and p=0.5

2) How does the graph of a geometric probability distribution differ from a uniform probability distribution?

3) In a basketball free-throw competition, a player shoots until he or she misses a basket. Can this situation be modelled by a binomial distribution? Justify your answer.

4) Which of the following predictions can be calculated using a binomial distribution?

a) whether a baseball player will hit a home run during a five-game series

b) the number of product samples that will be tested before a defective one is found

c) both of the above

d) none of the above

5) Which of the following is an example of dependent events?

a) rolling a die and flipping a coin

b) dealing 2 cards from a standard deck

c) picking a card from a deck and rolling a die

d) none of the above