Answer :
Answer:
(a) 0.1071
(b) 0.4164 .
Step-by-step explanation:
We are given that a single gene determines whether or not an individual is a "taster." 70% of Americans are "tasters" and 20 Americans are randomly selected.
We can take this situation as of Binomial distribution i.e.;
[tex]P(X=x) = \binom{n}{x}p^{x}(1-p)^{n-x} ; x = 0,1,2,3,....[/tex]
where, n = number of trials or number of samples
x = required success
p = probability of success
So, here success is that gene determines individual to be a "taster." i.e.
p = 0.70 and also n = 20
(a) Probability that at least 17 are "tasters" = P(X >= 17)
For this we will use binomial probabilities table in which less than probabilities are given so;
P(X >= 17) = 1 - P(X <=16) = 1 - 0.8929 = 0.1071.
(b) Probability that fewer than 15 are "tasters" = P(X < 15)
P(X < 15) = P(X <= 14) = 1 - 0.5836 = 0.4164 .