document.write( "Question 1192350: The level of nitrogen oxides (NOX) in the exhaust of cars of a particular model varies Normally with mean 0.22 grams per mile (g/mi) and standard deviation 0.059 g/mi. Government regulations call for NOX emissions no higher than 0.28 g/mi.\r
\n" ); document.write( "\n" ); document.write( "A) What is the probability (±0.001) that a single-car of this model fails to meet the NOX requirement? \r
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\n" ); document.write( "\n" ); document.write( "B) A company has 15 cars of this model in its fleet. What is the probability (±0.001) that the average NOX level x of these cars is above the 0.28 g/mi limit?
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Algebra.Com's Answer #824380 by Theo(13342)\"\" \"About 
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mean = .22 grams per mile.
\n" ); document.write( "standard deviation = .059 grams per mile.
\n" ); document.write( "test level of NOX = 28 grams per mile.\r
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\n" ); document.write( "\n" ); document.write( "z-score formula is z = (x - m) / s.
\n" ); document.write( "s represents the standard deviation when applied to a sample of one single element.
\n" ); document.write( "z-score formula is z = (x - m) / s.
\n" ); document.write( "s represents the standard error when applied to the mean of a sample of n elements.
\n" ); document.write( "the formula for standard error is that s = standard deviation divided by square root of sample size.\r
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\n" ); document.write( "\n" ); document.write( "the first part of your problem is looking at a sample of one single element.
\n" ); document.write( "the z-score formula becomes:
\n" ); document.write( "z = (x - m) / s becomes z = (.28 - .22) / .059.
\n" ); document.write( "solve for z to get z = 1.016949153.
\n" ); document.write( "it's best to use a calculator to find the area to the right of that z-score.
\n" ); document.write( "using my ti-84 plus, i get the area to the right of that z-score = .1545888216.
\n" ); document.write( "that's the probability of getting a sample of one element having having NOX emissions greater than .28 grams per mile.
\n" ); document.write( "round that to 3 decimal places and it will be equal to .155.\r
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\n" ); document.write( "\n" ); document.write( "the second part of your problem is looking at a sample of 15 elements.
\n" ); document.write( "here, you would use the standard error, rather than the standard deviation.
\n" ); document.write( "the standard error formula is s = standard deviation divided by the square root of the sample size.
\n" ); document.write( "that becomes s = .059 / sqrt(15) = .0152337345.
\n" ); document.write( "the z-score formula becomes z = (.28 - .22) / .0152337345 = 3.938627132.
\n" ); document.write( "using my ti-84 plus, i get the area to the right of that z-score = .0004099196854.
\n" ); document.write( "that's the probability of getting a sample of 15 elements having a mean of NOX emissions greater than .28 grams per mile.
\n" ); document.write( "round that to 3 decimal places and it will be equal to 0.\r
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\n" ); document.write( "\n" ); document.write( "the mean of the sample will get closer to the mean of the population as the sample size gets larger.
\n" ); document.write( "that's a basic principle being applied through the use of the standard error formula.
\n" ); document.write( "since the mean of the population was .22, then it became extremely unlikely that the mean of the sample of 15 elements would be greater than .28.\r
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