According to recent passport data, the percentage of people in a particular country who have a passport has risen dramatically. In 2007, only 25% of the country's citizens had a passport; in 2017 that percentage had risen to 44%. Assume that currently 44% of the citizens have a passport. Suppose 50 citizens of the country are selected at random. Complete parts (a) through (c) below.
a. Find the probability that fewer than 24 have a passport. The probability that fewer than 24 have a passport is nothing. (Type an integer or decimal. Round to three decimal places as needed.)
b. Find the probability that at most 28 have a passport. The probability that at most 28 have a passport is nothing. (Type an integer or decimal. Round to three decimal places as needed.)
c. Find the probability that at least 29 have a passport. The probability that at least 29 have a passport is nothing. (Type an integer or decimal. Round to three decimal places as needed.
Show work. How to get from point a to b
Let X be a Binomial random variable which denotes the number of citizens who have a passport
where n = 50, p = 0.44
np = 22
n(1 - p) = 28
Since both np and n(1 - p) are greater than 10, X can be approximated to Normal distribution with
Mean = np = 22
and standard deviation = = 3.51
i.e. X ~ N(22, 3.51)
(a) The required probability = P(X < 24)
Using correction of continuity, P(X < 24) ≈ P(X < 23.5)
= P{Z < (23.5 - 22)/3.51} = P(Z < 0.427)
= 0.6654
(b) The required probability = P(X ≤ 28)
Using correction of continuity, P(X ≤ 28) ≈ P(X < 28.5)
= P(Z < 1.852)
= 0.9679
(c) The required probability = P(X ≥ 29)
= 1 - P(X ≤ 28) = 1 - 0.9679 = 0.0321
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