document.write( "Question 1192336: A manufacturer wishes to estimate the proportion of washing machines leaving the factory that is defective. How large a sample should she check in order to be 94 percent confident that the true proportion is estimated to within 0.015?\r
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Algebra.Com's Answer #849042 by CPhill(1959)\"\" \"About 
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**1. Determine the z-score:**\r
\n" ); document.write( "\n" ); document.write( "* Find the z-score that corresponds to a 94% confidence level. This means we want to find the z-score that leaves 3% in each tail of the standard normal distribution.
\n" ); document.write( "* Using a standard normal distribution table or calculator, we find that z ≈ 1.8808.\r
\n" ); document.write( "\n" ); document.write( "**2. Estimate the proportion of defective washing machines:**\r
\n" ); document.write( "\n" ); document.write( "* Since we don't have any prior information about the proportion of defective washing machines, we'll use the most conservative estimate: p = 0.5. This will give us the largest sample size needed.\r
\n" ); document.write( "\n" ); document.write( "**3. Calculate the sample size:**\r
\n" ); document.write( "\n" ); document.write( "* Use the following formula for determining the sample size needed for estimating a population proportion:\r
\n" ); document.write( "\n" ); document.write( " n = (z² * p * (1 - p)) / E² \r
\n" ); document.write( "\n" ); document.write( " where:
\n" ); document.write( " * n is the sample size
\n" ); document.write( " * z is the z-score
\n" ); document.write( " * p is the estimated proportion of defective washing machines
\n" ); document.write( " * E is the desired margin of error (0.015 in this case)\r
\n" ); document.write( "\n" ); document.write( "* Plug in the values:\r
\n" ); document.write( "\n" ); document.write( " n = (1.8808² * 0.5 * (1 - 0.5)) / 0.015²
\n" ); document.write( " n ≈ 7861.16\r
\n" ); document.write( "\n" ); document.write( "* **Round up:** Since we can't have a fraction of a washing machine, we round up to the nearest whole number.\r
\n" ); document.write( "\n" ); document.write( "**Therefore, the manufacturer should check a sample of 7862 washing machines to be 94% confident that the true proportion of defective washing machines is estimated to within 0.015.**
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