5/9 bell-ringer

• 336

• 56

• 8/5

• 40,320

Which descriptions are true for a binomial distribution?

• the probability of success must be the same for each event

• the probability for each event must be 0.5

• there can be only two possible outcomes

• The probabilities must add to 1

• each trial must be independent

Which of the following could be examples of binomial probabilities? (select all that apply)

• P(success)=0.99, P(failure) = 0.01

• P(A) = 0.4, P(B) = 0.4

• P(A)= 1/3, P(B) = 1/3, P(C) = 1/3

• P(3)= 1/6, P(not 3) = 5/6

• 54

• 504

• 60,480

• 84

When rolling a fair die 100 times, what is the probability of rolling a "4" exactly 15 times?

• 1.0%

• 10.0%

• 25%

• 2.1%