In: Statistics and Probability
According to Masterfoods, the company that manufactures M&M’s, 12% of peanut M&M’s are brown, 15% are yellow, 12% are red, 23% are blue, 23% are orange and 15% are green. You randomly select five peanut M&M’s from an extra-large bag of the candies. (Round all probabilities below to four decimal places; i.e. your answer should look like 0.1234, not 0.1234444 or 12.34%.)
Compute the probability that exactly four of the five M&M’s are blue.
Compute the probability that three or four of the five M&M’s are blue.
Compute the probability that at most four of the five M&M’s are blue.
Compute the probability that at least four of the five M&M’s are blue.
If you repeatedly select random samples of five peanut M&M’s, on average how many do you expect to be blue? (Round your answer to two decimal places.)
blue M&M’s
here this is binomial with parameter n=5 and p=0.23 |
1)
probability that exactly four of the five M&M’s are blue:
P(X=4)= | (nCx)px(1−p)(n-x) = | 0.0108 |
2)
probability that three or four of the five M&M’s are blue:
P(3<=X<=4)= | ∑x=ab (nCx)px(1−p)(n-x) = | 0.0829 |
3)
probability that at most four of the five M&M’s are blue:
P(X<=4)= | ∑x=0a (nCx)px(1−p)(n-x) = | 0.9994 |
4)
probability that at least four of the five M&M’s are blue:
P(X>=4)=1-P(X<=3)= | 1-∑x=0x-1 (nCx)px(q)(n-x) = | 0.0114 |
5)
expected to be blue =5*0.23 =1.15