document.write( "Question 1194768: A researcher wishes to estimate the proportion of adults who have high-speed Internet access. What size sample should be obtained if she wishes the estimate to be within 0.03 with 90% confidence if
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document.write( "(a) she uses a previous estimate of 0.32?
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document.write( "(b) she does not use any prior estimates?
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Algebra.Com's Answer #827050 by math_tutor2020(3817)![]() ![]() ![]() You can put this solution on YOUR website! \n" ); document.write( "Part (a)\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "Use this table \n" ); document.write( "https://www.sjsu.edu/faculty/gerstman/StatPrimer/t-table.pdf \n" ); document.write( "to find the z critical value at 90% confidence is approximately z = 1.645\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "p = 0.32 is the previous estimate of the proportion \n" ); document.write( "E = 0.03 is the error we want (or smaller)\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "n = sample size \n" ); document.write( "n = p*(1-p)*(z/E)^2 \n" ); document.write( "n = 0.32*(1-0.32)*(1.645/0.03)^2 \n" ); document.write( "n = 654.256711111111 \n" ); document.write( "n = 655\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "We always round UP to the nearest whole number when doing min sample size problems. \n" ); document.write( "It doesn't matter that 654.256711111111 is closer to 654 than it is to 655\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "We round up to clear the hurdle needed. \n" ); document.write( "Try n = 654 in the margin of error formula \n" ); document.write( "E = z*sqrt(p*(1-p)/n) \n" ); document.write( "and you'll find that E > 0.03 which isn't what we want. \n" ); document.write( "But if you tried n = 655, then E = 0.03 or E < 0.03 would be the case.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "Answer: 655\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "====================================================================================\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "Part (b)\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "This is going to be very similar to part (a). \n" ); document.write( "However, we'll be using p = 0.50 this time. \n" ); document.write( "This is the most conservative estimate or guess to make for p if we don't know what it is. \n" ); document.write( "It's right in the middle of the interval \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "The other values of z = 1.645 and E = 0.03 remain the same from before.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "n = sample size \n" ); document.write( "n = p*(1-p)*(z/E)^2 \n" ); document.write( "n = 0.50*(1-0.50)*(1.645/0.03)^2 \n" ); document.write( "n = 751.673611111111 \n" ); document.write( "n = 752 \n" ); document.write( "Once again, always round up.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "Since p = 0.5, this means p(1-p) = 0.5*(1-0.5) = 0.5*0.5 = 0.25 \n" ); document.write( "The formula above updates to n = 0.25*(z/E)^2 when using p = 0.5\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "Answer: 752\r \n" ); document.write( " \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "Further Reading: \n" ); document.write( "http://www.ltcconline.net/greenl/courses/201/estimation/ciprop.htm \n" ); document.write( "Scroll down to the section with the subheading of \"Finding n to Estimate a Proportion\". \n" ); document.write( "I have no affiliation to the websites in either link mentioned. \n" ); document.write( " \n" ); document.write( " |