document.write( "Question 1186384: A stationery store wants to estimate the mean retail value of greeting cards that it has in its inventory. A random sample of 20 greeting cards indicates a mean value of $3.55 and a standard deviation of $0.54.
\n" ); document.write( " Construct a 95% confidence interval estimate for the mean value of all greeting cards in the store’s inventory.
\n" ); document.write( " If the manager wants to estimate, with 95% confidence, the mean value of all greeting cards to within ± $0.03 sample error, what sample size is needed(assuming normal)?
\n" ); document.write( "
\n" ); document.write( "

Algebra.Com's Answer #849447 by CPhill(1959)\"\" \"About 
You can put this solution on YOUR website!
Here's how to solve this problem:\r
\n" ); document.write( "\n" ); document.write( "**1. Constructing the 95% Confidence Interval:**\r
\n" ); document.write( "\n" ); document.write( "* **Sample mean (x̄):** $3.55
\n" ); document.write( "* **Sample standard deviation (s):** $0.54
\n" ); document.write( "* **Sample size (n):** 20
\n" ); document.write( "* **Confidence level:** 95%\r
\n" ); document.write( "\n" ); document.write( "Since the sample size is small (n < 30) and the population standard deviation is unknown, we use the t-distribution.\r
\n" ); document.write( "\n" ); document.write( "* **Degrees of freedom (df):** n - 1 = 20 - 1 = 19
\n" ); document.write( "* **Critical t-value:** For a 95% confidence level and 19 degrees of freedom, the critical t-value is approximately 2.093 (you can find this using a t-table or calculator).\r
\n" ); document.write( "\n" ); document.write( "* **Standard error:** SE = s / √n = 0.54 / √20 ≈ 0.1208\r
\n" ); document.write( "\n" ); document.write( "* **Margin of error:** ME = t * SE = 2.093 * 0.1208 ≈ 0.2529\r
\n" ); document.write( "\n" ); document.write( "* **Confidence interval:** x̄ ± ME = 3.55 ± 0.2529\r
\n" ); document.write( "\n" ); document.write( "Therefore, the 95% confidence interval is approximately **($3.2971, $3.8029)**.\r
\n" ); document.write( "\n" ); document.write( "**2. Determining the required sample size:**\r
\n" ); document.write( "\n" ); document.write( "* **Desired margin of error (E):** $0.03
\n" ); document.write( "* **Confidence level:** 95% (z-score = 1.96, since we are assuming normality for sample size calculation)
\n" ); document.write( "* **Estimated standard deviation (s):** $0.54 (we use the sample standard deviation as an estimate)\r
\n" ); document.write( "\n" ); document.write( "The formula for sample size is:\r
\n" ); document.write( "\n" ); document.write( "n = (z * s / E)²\r
\n" ); document.write( "\n" ); document.write( "n = (1.96 * 0.54 / 0.03)²
\n" ); document.write( "n = (1.96 * 18)²
\n" ); document.write( "n = (35.28)²
\n" ); document.write( "n ≈ 1244\r
\n" ); document.write( "\n" ); document.write( "Therefore, a sample size of approximately **1244** greeting cards is needed to estimate the mean value to within ±$0.03 with 95% confidence.
\n" ); document.write( "
\n" ); document.write( "
\n" );