document.write( "Question 1201062: (a) Find the minimal sample size required so that for a confidence interval, the maximal margin of error is \r
\n" ); document.write( "\n" ); document.write( "(b) Based on this sample size and the distribution, can we assume that the distribution is approximately normal? Explain.
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Algebra.Com's Answer #840416 by Boreal(15235)\"\" \"About 
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You are missing some information, but here is the approach.
\n" ); document.write( "error = z*sqrt(p*(1-p))/n
\n" ); document.write( "suppose z=1.96 for 95% CI
\n" ); document.write( "and suppose p=0.4 and n=50
\n" ); document.write( "then error=1.96*(sqrt(.24/50)
\n" ); document.write( "=0.1358
\n" ); document.write( "np and n(1-p) are both more than 10 so yes can assume normality.\r
\n" ); document.write( "\n" ); document.write( "note that the error for probability around 50% is about 1/sqrt(n).
\n" ); document.write( "This comes from using z=2 and p=0.5, Very useful to know this.
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