Answer:
(a) 0.124
(b) 0.174
Step-by-step explanation:
We are given that 60% of the Valium users in the state of Massachusetts first took Valium for psychological problems.
The Binomial distribution probability is given by;
P(X = r) = [tex]\binom{n}{r}p^{r}(1-p)^{n-r}[/tex] for x = 0,1,2,3,.......
Here, n = number of trials(samples) which is 8 in our case
r = no. of success
p = probability of success which is probability of users who take
Valium for psychological problems of 0.60 in our case
(a) Let X = users taking Valium for psychological problems
So, P(X = 3) = [tex]\binom{8}{3}0.6^{3}(1-0.6)^{8-3}[/tex]
= [tex]56 * 0.6^{3}*0.4^{5}[/tex] = 0.124
(b) Since, it is given that 60% of the Valium users in the state of Massachusetts first took Valium for psychological problems which means 40% of the Valium users in the state of Massachusetts take Valium for problems which are not psychological.
i.e., in this case p = 0.40
So, P(X >= 5) = P(X = 5) + P(X = 6) + P(X = 7) + P(X = 8)
= [tex]\binom{8}{5}0.4^{5}(1-0.4)^{8-5} + \binom{8}{6}0.4^{6}(1-0.4)^{8-6} + \binom{8}{7}0.4^{7}(1-0.4)^{8-7} + \binom{8}{8}0.4^{8}(1-0.4)^{8-8}[/tex]
= [tex]56 * 0.4^{5} * (0.6)^{3} + 28 * 0.4^{6} * (0.6)^{2} + 8 * 0.4^{7} * (0.6)^{1} + 1 * 0.4^{8}[/tex]
= 0.174