1) A player scores on 85% of foul shots. If he takes 8 foul shots in a game, what is the probability that he scores on exactly 7 of them?
My answer: 0.85^7
2) One out of 6 blocks is blue. A customer wants to buy two blue blocks. What is the probability of finding exacly two such blocks among the first four tested?
My answer: (4C2)(5/6)(5/6)(1/6)(1/6)=.114, but i think I messed up due to the wording of the problem.
3) Forty percent of the chocolates are red. The production line mixes chocolates randomly and packages 10 per box. Find:
a) the probability that less than four candies in a given box are red.
My answer: This means that 0, 1, 2, or 3 are red, so I added those up:
0.6^10 + (10C1)(0.6^9)(0.4^2) + (10C2)(0.6^8)(0.4^2) + 10C3(0.6^7)(0.4^3) = 0.38
b) the probability that exactly four candies in a given box are red.
My answer: (10C4)(0.4^6)(0.6^4) = 0.252
4) A jet engine has 0.0001 probability of failure while in flight. For a jet with four engines, what is the probability of at least two of them failing?
My answer: 1 - p(0) - p(1)
1 - 0.9999^4 - 4(0.0001)(0.9999^3) = 5.9992 x 10^-8
5) Use the expansion of (a+b)^3 to show how the binomial theorum is related to the binomial probability distribution.
My answer: I'm not too sure what the question wants. I've fiddled around for an hour and come up with this:
term x of the expression (a + b)^n is equal to the probability of n-x given n trials and probability of success a and probability of failure b
ex: (a + b)^3, a = 0.85, b = 0.15
term 0:
(3C3)(a^(3 - 3))(b^3)
3(0.85^2)(0.15)
probability of 3:
(3C3)(0.85^3)(0.15^3-3)
My answer: 0.85^7
2) One out of 6 blocks is blue. A customer wants to buy two blue blocks. What is the probability of finding exacly two such blocks among the first four tested?
My answer: (4C2)(5/6)(5/6)(1/6)(1/6)=.114, but i think I messed up due to the wording of the problem.
3) Forty percent of the chocolates are red. The production line mixes chocolates randomly and packages 10 per box. Find:
a) the probability that less than four candies in a given box are red.
My answer: This means that 0, 1, 2, or 3 are red, so I added those up:
0.6^10 + (10C1)(0.6^9)(0.4^2) + (10C2)(0.6^8)(0.4^2) + 10C3(0.6^7)(0.4^3) = 0.38
b) the probability that exactly four candies in a given box are red.
My answer: (10C4)(0.4^6)(0.6^4) = 0.252
4) A jet engine has 0.0001 probability of failure while in flight. For a jet with four engines, what is the probability of at least two of them failing?
My answer: 1 - p(0) - p(1)
1 - 0.9999^4 - 4(0.0001)(0.9999^3) = 5.9992 x 10^-8
5) Use the expansion of (a+b)^3 to show how the binomial theorum is related to the binomial probability distribution.
My answer: I'm not too sure what the question wants. I've fiddled around for an hour and come up with this:
term x of the expression (a + b)^n is equal to the probability of n-x given n trials and probability of success a and probability of failure b
ex: (a + b)^3, a = 0.85, b = 0.15
term 0:
(3C3)(a^(3 - 3))(b^3)
3(0.85^2)(0.15)
probability of 3:
(3C3)(0.85^3)(0.15^3-3)