n: number of trials x: number of success in n trials p: probability of success in each trial P(x): probability of getting x successes (out of n trials)
⋅ binomialpdf (n,p,x) ⋅ binomialcdf (n,p,x)
Identify which of the following experiments below are binomial distributions?
i. A fair die is rolled 4 times. What is the probability of the one coming up 2 times?
ii. A fair coin is flipped until head comes up 7 times. What is the probability that the coin will be flipped 10 times?
iii. 1,000,000 nails are produced in a factory a day. If each nail has a probability of 0.5% of being defective (something being wrong with that nail), then what is the probability that less than 50 nails will be defective in a day?
iv. Roughly 7.5% of Canadians have some form of heart disease. If 100 Canadians are sampled what is the probability that 10 of them will have heart disease?
v. If 5 cards are drawn from a deck, what is the probability that 2 of them will be hearts?
vi. If a fair die is rolled 8 times, what is the probability of getting 2 fours and 3 sixes?
A die is rolled 3 times, what is the probability that a four is rolled exactly 2 times?
A coin is flipped 20 times, what is the probability that the coin comes up heads 15 times?
Jimmy the Joker is an unfair gambler. He weights a die so it rolls a “6” with 75% chance. He then bets that if he rolls his die 4 times he will roll six exactly 3 times. What is his probability of winning this bet?
Thomas is packing for a trip and wants to bring some stuffed animals along for comfort. He owns 8 stuffed animals, and will pack each stuffed animals independently of all the others with a probability of 30%. Determine the probability that he takes;