In: Statistics and Probability
The unemployment rate in a certain city is 8.5%. A random sample of 100 people from the labor force is drawn. Find the probability that the sample contains at least ten unemployed people.
Solution:
Given that,
P = 0.085
1 - P = 0.915
n = 100
Here,
BIN ( n , P ) that is , BIN (100 , 0.085)
then,
n*p = 100*0.085 = 8.5 > 5
n(1- P) = 100*0.915 = 91.5 > 5
According to normal approximation binomial,
X
Normal
Mean =
= n*P = 8.5
Standard deviation =
=
n*p*(1-p)
=
100*0.085*0.915 =
7.7775
We using countinuity correction factor
P(X
a ) = P(X > a - 0.5)
P(x > 9.5) = 1 - P(x < 9.5)
= 1 - P((x -
) /
< (9.5 - 8.5) /
7.7775)
= 1 - P(z < 0.359)
= 1 - 0.6402
= 0.3598
The probability that the sample contains at least ten unemployed people is 0.3598