In: Economics
An employer has determined that the proportion of all its employees who drink coffee is 85%.
a. What is the probability that in a random sample of 200 employees, less than 80% drink coffee?
b. What is the probability that in a random sample of 200 employees, more than 90% drink coffee?
c. Interpret the probability you have calculated for part-b above using your own words.
We know this is binomial distribution with p=0.85 and n=200
p is the proportion of people who drinks coffee
a. We have to find out P(x<160)
We will use normal approximation
X~N(E(X),Var(X))
E(X) = np = 200*0.85 = 170
Var(X) = np(1-p) = 200*0.85*0.15 = 25.5
X ~ N(170,25.5)
When we convert discrete distribution to continuous distribution we have to do continuity correction, So, now we have to find P(X<159.5) We will convert it to standard normal
P(Z<(159.5-170)/25.5^0.5)
P(Z<-2.08) = P(Z>2.08)
We can find its value from Standard distribution table or Z table
P(Z>2.08) = 1- P(Z<2.08) (As we are given less than value in Z table)
= 1 - 0.98124
= 0.01876 is the answer
b. Now we have to find P(X>180)
With continuity correction
P(X>180.5)
Converting it to standard normal
P(Z>(180.5-170)/25.5^0.5)
P(Z>2.08) = 1 - (PZ<2.08)
= 1 - 0.98124
= 0.01876 is the answer
c. We can say from part b that there are 0.01876 chances that more than 180 people drinks coffee