document.write( "Question 136270: a random sample of 10 miniature tootsie rolls was taken from a bag. each piece was weighed on a very accurate scale: the results in grams were 3.087 3.131 3.241 3.241 3.270 3.353 3.400 3.411 3.437 3.477\r
\n" ); document.write( "\n" ); document.write( "construct a 90 percent confidence interval for the true mean weight.
\n" ); document.write( "what sample size would be necessary to estimate the true weight with an error of + 0.03 grams with 90 percent confidence?
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Algebra.Com's Answer #99818 by stanbon(75887)\"\" \"About 
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A random sample of 10 miniature Tootsie Rolls was taken from a bag. Each piece was weighed on
\n" ); document.write( "a very accurate scale. The results in grams were
\n" ); document.write( "3.087 3.131 3.3.241 3.270 3.353 3.400 3.411 3.437 3.477
\n" ); document.write( "(a) Construct a 90 percent confidence interval for the true mean weight.
\n" ); document.write( "E = z*sigma/sqrt(n)
\n" ); document.write( "E = 1.645*0.13199/sqrt(10)
\n" ); document.write( "E = 0.06866
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\n" ); document.write( "x-bar = 3.3048
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\n" ); document.write( "90% CI = (3.3048-0.06866 , 3.3048+0.06866)
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\n" ); document.write( "\n" ); document.write( "(b) What sample size would be necessary to estimate the true weight with an error of ± 0.03 grams with 90 percent confidence?
\n" ); document.write( "E = z*sigma/sqrt(n)
\n" ); document.write( "n = [z*sigma/E]^2
\n" ); document.write( "z* for 90% confidence = 1.645
\n" ); document.write( "sigma = 0.13199
\n" ); document.write( "E = 0.03
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\n" ); document.write( "n = [1.645*0.13199/0.03]^2 = 52.38
\n" ); document.write( "rounded up: n = 53
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\n" ); document.write( "(c) Discuss the factors which might cause variation in the weight of Tootsie Rolls during manufacture.
\n" ); document.write( "Temperature; consistency of batches; machine tolerances
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\n" ); document.write( "cheers,
\n" ); document.write( "Stan H.\r
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