A change is made to one product page on the retail
companies’ web site. To determine if the change
does improve the efficiency of that product page, data
must be collected on the proportion of visitors to the
new page that ultimately purchase the product. It is
known that 3.2% of visitors, to the original page,
make purchases. Assume that this proportion holds for
the next 500 visitors to the new page. Use the normal
distribution to approximate the probability that,
among these 500 visitors, the number who purchase
will be
(a) 11 or fewer.
(b) 21 or more.
"n=500\\\\p=0.032"
If we use the normal approximation then, "\\mu=np=500\\times 0.032=16" and "\\sigma=\\sqrt{npq}=\\sqrt{500\\times0.032\\times 0.968}=\\sqrt{15.488}=3.93547964"
Let the random variable X represent the number of purchases
a)
"p(X\\le 11)=p({X-\\mu\\over \\sigma}\\le{11-\\mu\\over \\sigma})=p(Z\\le {11-16\\over 3.93547964})=p(Z\\le -1.27)=\\phi(-1.27)=0.1020"
The probability that there are 11 or fewer purchases is 0.1020
b)
"p(X\\ge 21)=p({X-\\mu\\over \\sigma}\\ge{21-\\mu\\over \\sigma})=p(Z\\ge {21-16\\over 3.93547964})=p(Z\\ge 1.27)=1-p(Z\\le 1.27)=1-\\phi(1.27)=1-0.8980=0.1020"
The probability that there are 21 or more purchases is 0.1020
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