Assume that 20.5% of all cars in South Africa are silver in colour. Let bp be the sample proportion
of silver cars in a random sample of 1000 cars.
(a) Find the mean and standard deviation of bp: (6)
(b) What is the probability that the sample proportion bp is more than 25%? (6)
(c) What is the probability that the sample proportion bp is within 1% of the true population pro-
portion? (8)
Solution:
n=1000, "p=20.45\\% =0.2045"
"X\\sim Bin(n,p)"
(a) Mean"=p=0.2045" , Standard deviation "=\\sqrt{\\dfrac{p(1-p)}{n}}=\\sqrt{\\dfrac{0.2045(1-0.2045)}{1000}}=0.01275"
(b) "P(X>0.25)=1-P(X\\le0.25)"
"=1-P(z<\\dfrac{0.25-0.2045}{0.01275})"
"=1-P(z<3.56)\n\\\\=1-0.99981\n\\\\=0.00019"
(c) We know that population proportion is 0.205(rounding off 0.2045) and hence 1% limit is (0.20295,0.20705). Taking SD = 0.0128 (rounding off 0.01275).
"P(0.20295<bp<0.20705)=P(\\dfrac{0.20295-0.205}{0.0128}<z< \\dfrac{0.20705-0.205}{0.0128})\n\\\\=P(-0.16<z< 0.16)\n\\\\=P(z<0.16)-P(z<-0.16)\n\\\\=P(z<0.16)-1+P(z<0.16)\n\\\\=2\\times 0.56356-1\n\\\\=0.12712"
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