document.write( "Question 1184610: The diameter of a brand of tennis balls is approximately normally distributed, with a mean of 2.67 inches and a standard deviation of 0.05 inch. A random sample of 10 tennis balls is selected. Complete parts (a) through (d) below.\r
\n" );
document.write( "
\n" );
document.write( "\n" );
document.write( " The probability is 60% that the sample mean will be between what two values symmetrically distributed around the population mean?\r
\n" );
document.write( "\n" );
document.write( "The lower bound is---- inches\r
\n" );
document.write( "\n" );
document.write( "The upper bound is----- inches.
\n" );
document.write( "(Round to two decimal places as needed.) \n" );
document.write( "
Algebra.Com's Answer #849838 by CPhill(1987) You can put this solution on YOUR website! Here's how to calculate the bounds for the sample mean:\r \n" ); document.write( "\n" ); document.write( "1. **Find the z-score corresponding to the desired probability:**\r \n" ); document.write( "\n" ); document.write( "Since we want the probability that the sample mean falls *between* two values symmetrically distributed around the population mean, and that probability is 60%, we need to find the z-scores that cut off the *remaining* 40% (100% - 60% = 40%). Since the distribution is symmetric, each tail will have 20% (40% / 2 = 20%).\r \n" ); document.write( "\n" ); document.write( "Look up the z-score corresponding to 0.20 (or 20%) in a standard normal (z) table. Since we are looking for the middle 60%, we need the z-score that corresponds to 0.70 (or 70%) or 1 - 0.20 on the left side of the distribution. The z-score is approximately 0.52. (You can also use a calculator or statistical software to find this z-score more precisely, but 0.52 is generally sufficient for this type of problem.)\r \n" ); document.write( "\n" ); document.write( "2. **Calculate the standard error of the mean:**\r \n" ); document.write( "\n" ); document.write( "The standard error of the mean (SEM) is the standard deviation of the sample means. It's calculated as:\r \n" ); document.write( "\n" ); document.write( "SEM = σ / √n\r \n" ); document.write( "\n" ); document.write( "where σ is the population standard deviation (0.05 inch) and n is the sample size (10).\r \n" ); document.write( "\n" ); document.write( "SEM = 0.05 / √10 ≈ 0.0158 inch\r \n" ); document.write( "\n" ); document.write( "3. **Calculate the margin of error:**\r \n" ); document.write( "\n" ); document.write( "The margin of error is how much the sample mean is likely to vary from the population mean. It's calculated as:\r \n" ); document.write( "\n" ); document.write( "Margin of Error = z * SEM\r \n" ); document.write( "\n" ); document.write( "Margin of Error = 0.52 * 0.0158 ≈ 0.0082 inch\r \n" ); document.write( "\n" ); document.write( "4. **Calculate the lower and upper bounds:**\r \n" ); document.write( "\n" ); document.write( "* **Lower Bound:** Population Mean - Margin of Error = 2.67 - 0.0082 ≈ 2.66 inches \n" ); document.write( "* **Upper Bound:** Population Mean + Margin of Error = 2.67 + 0.0082 ≈ 2.68 inches\r \n" ); document.write( "\n" ); document.write( "**Therefore:**\r \n" ); document.write( "\n" ); document.write( "The lower bound is approximately 2.66 inches. \n" ); document.write( "The upper bound is approximately 2.68 inches. \n" ); document.write( " \n" ); document.write( " |