In a particular city, one in three families have a phone in their home. If 90 families are chosen at random, calculate the probability that at least 30 of them will have a phone.
Let "X=" the number of families which have a phone: "X\\sim Bin(n, p)."
Given "n=90, p=\\dfrac{1}{3}, q=1-p=1-\\dfrac{1}{3}=\\dfrac{2}{3}."
"=1-\\displaystyle\\sum_{x=0}^{29}\\dbinom{90}{x}(\\dfrac{1}{3})^{x}(\\dfrac{2}{3})^{90-x}"
"\\approx0.53956753215""np=90(\\dfrac{1}{3})=30\\geq10, nq=90(\\dfrac{2}{3})=60\\geq10"
Then "X" has approximately a normal distribution with "\\mu=np=30" and "\\sigma=\\sqrt{npq}=\\sqrt{90(\\dfrac{1}{3})(\\dfrac{2}{3})}=2\\sqrt{5}."
"=1-P(Z\\leq\\dfrac{29.5-30}{2\\sqrt{5}})\\approx1-P(Z\\leq-0.1118)"
"\\approx0.544509"
Comments
Leave a comment