document.write( "Question 1153359: A research firm conducted a survey to determine the mean amount Americans spend on coffee during a week. \r
\n" ); document.write( "\n" ); document.write( "They found the distribution of weekly spending followed the normal distribution with a population standard deviation of $5.
\n" ); document.write( "A sample of 49 Americans revealed that Xbar=$20. \r
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\n" ); document.write( "What is the point estimate of the population mean?\r
\n" ); document.write( "\n" ); document.write( "Using the 95% level of confidence, determine the confidence interval for μ.
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Algebra.Com's Answer #775567 by jim_thompson5910(35256)\"\" \"About 
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\n" ); document.write( "\n" ); document.write( "Question: What is the point estimate of the population mean?
\n" ); document.write( "Answer: xbar = 20\r
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\n" ); document.write( "\n" ); document.write( "Question: What is the 95% confidence interval for mu?
\n" ); document.write( "Answer: approximately (18.6, 21.4), in which we can alternatively write as 18.6 < mu < 21.4 or as \r
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\n" ); document.write( "\n" ); document.write( "n = 49 is the sample size
\n" ); document.write( "mu = population mean
\n" ); document.write( "xbar = 20 is the sample mean
\n" ); document.write( "sigma = 5 is the population standard deviation\r
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\n" ); document.write( "\n" ); document.write( "xbar is the point estimate of the population mean mu. It is our best guess at the population mean based on the sample information we gathered/computed. Of course we aren't likely to have xbar and mu match up perfectly. This is where the confidence interval comes in. The confidence interval is like a net we cast out and we say we are 95% confident that the population mean is in this range. For any confidence interval involving mu, the point estimate xbar is always at the center of the confidence interval.\r
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\n" ); document.write( "\n" ); document.write( "At 95% confidence, the critical z value is roughly z = 1.96; use a table or calculator to determine this. \r
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\n" ); document.write( "\n" ); document.write( "L = lower bound of confidence interval
\n" ); document.write( "L = xbar - z*(sigma/sqrt(n))
\n" ); document.write( "L = 20 - 1.96*(5/sqrt(49))
\n" ); document.write( "L = 20 - 1.96*(5/7)
\n" ); document.write( "L = 20 - 1.96*(0.714285714285714)
\n" ); document.write( "L = 20 - 1.4
\n" ); document.write( "L = 18.6\r
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\n" ); document.write( "\n" ); document.write( "U = upper bound of confidence interval
\n" ); document.write( "U = xbar + z*(sigma/sqrt(n))
\n" ); document.write( "U = 20 + 1.96*(5/sqrt(49))
\n" ); document.write( "U = 20 + 1.96*(5/7)
\n" ); document.write( "U = 20 + 1.96*(0.714285714285714)
\n" ); document.write( "U = 20 + 1.4
\n" ); document.write( "U = 21.4\r
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\n" ); document.write( "\n" ); document.write( "(L, U) = (18.6, 21.4) is the approximate 95% confidence interval.\r
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\n" ); document.write( "\n" ); document.write( "If you want to write the confidence interval in the form L < mu < U, then you would write 18.6 < mu < 21.4\r
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\n" ); document.write( "\n" ); document.write( "Another format is , which has P as the point estimate and M as the margin of error. So, meaning we have a point estimate of 20 and a margin of error of 1.4; this is reflected in L = 20-1.4 and U = 20+1.4
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