forty - five percent of consumers say it is important that the clothing they buy is made without child…

forty - five percent of consumers say it is important that the clothing they buy is made without child labor. you randomly select 16 consumers. find the probability that the number of consumers who say it is important that the clothing they buy is made without child labor is (a) exactly three, (b) at least ten, and (c) less than eleven.\n(a) the probability that the number of consumers who say it is important that the clothing they buy is made without child labor is exactly three is p(exactly three)=□. (round to three decimal places as needed.)

forty - five percent of consumers say it is important that the clothing they buy is made without child labor. you randomly select 16 consumers. find the probability that the number of consumers who say it is important that the clothing they buy is made without child labor is (a) exactly three, (b) at least ten, and (c) less than eleven.\n(a) the probability that the number of consumers who say it is important that the clothing they buy is made without child labor is exactly three is p(exactly three)=□. (round to three decimal places as needed.)

Answer

Answer:

(a) 0.047 (b) 0.109 (c) 0.891

Explanation:

Step1: Identify binomial parameters

$n = 16$, $p=0.45$, $q = 1 - p=0.55$

Step2: Use binomial probability formula for (a)

$P(X = k)=C(n,k)\times p^{k}\times q^{n - k}$, where $C(n,k)=\frac{n!}{k!(n - k)!}$. For $k = 3$, $C(16,3)=\frac{16!}{3!(16 - 3)!}=\frac{16\times15\times14}{3\times2\times1}=560$. Then $P(X = 3)=560\times(0.45)^{3}\times(0.55)^{13}\approx0.047$

Step3: Calculate $P(X\geq10)$ for (b)

$P(X\geq10)=\sum_{k = 10}^{16}C(16,k)\times(0.45)^{k}\times(0.55)^{16 - k}=C(16,10)\times(0.45)^{10}\times(0.55)^{6}+C(16,11)\times(0.45)^{11}\times(0.55)^{5}+\cdots+C(16,16)\times(0.45)^{16}\times(0.55)^{0}\approx0.109$

Step4: Calculate $P(X\lt11)$ for (c)

$P(X\lt11)=1 - P(X\geq11)=1-\sum_{k = 11}^{16}C(16,k)\times(0.45)^{k}\times(0.55)^{16 - k}\approx1 - 0.109 = 0.891$