document.write( "Question 1193142: Find the minimum sample size n needed to estimate sigma for the given values of c, sigma ,and E. c = 0.98; sigma = 6.9 and E = 2 Assume that a preliminary sample has at least 30 members . n =___ ( Round up to the nearest whole number). \n" ); document.write( "
Algebra.Com's Answer #848943 by CPhill(1987)\"\" \"About 
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**1. Find the z-score for the given confidence level (c = 0.98)**\r
\n" ); document.write( "\n" ); document.write( "* Since c = 0.98, the alpha level (α) is 1 - 0.98 = 0.02.
\n" ); document.write( "* We need to find the z-score that corresponds to an area of 1 - α/2 = 0.99 in the standard normal distribution table.
\n" ); document.write( "* The z-score for 0.99 is approximately 2.33.\r
\n" ); document.write( "\n" ); document.write( "**2. Use the formula for sample size (n)**\r
\n" ); document.write( "\n" ); document.write( "* The formula to determine the minimum sample size (n) needed to estimate the population standard deviation (σ) with a given confidence level and margin of error (E) is:\r
\n" ); document.write( "\n" ); document.write( " n = (z * σ / E)² \r
\n" ); document.write( "\n" ); document.write( " where:
\n" ); document.write( " * n is the sample size
\n" ); document.write( " * z is the z-score corresponding to the desired confidence level
\n" ); document.write( " * σ is the population standard deviation
\n" ); document.write( " * E is the desired margin of error\r
\n" ); document.write( "\n" ); document.write( "* Substitute the given values:\r
\n" ); document.write( "\n" ); document.write( " n = (2.33 * 6.9 / 2)²
\n" ); document.write( " n = (16.077 / 2)²
\n" ); document.write( " n = 8.0385²
\n" ); document.write( " n ≈ 64.62\r
\n" ); document.write( "\n" ); document.write( "**3. Round up to the nearest whole number**\r
\n" ); document.write( "\n" ); document.write( "* Since we need a whole number of samples, round up n to 65.\r
\n" ); document.write( "\n" ); document.write( "**Therefore, the minimum sample size (n) needed to estimate sigma for the given values is 65.**
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