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The following random sample was selected from a normal distribution:

{:[9,4,9,7,2,20,14,10,20,14]:}
(a) Construct a 
90% confidence interval for the population mean 
mu.
(b) Construct a 
95% confidence interval for the population mean 
mu.

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The following random sample was selected from a normal distribution:\newline949722014102014 \begin{array}{llllllllll} 9 & 4 & 9 & 7 & 2 & 20 & 14 & 10 & 20 & 14 \end{array} \newline(a) Construct a 90% 90 \% confidence interval for the population mean μ \mu .\newline(b) Construct a 95% 95 \% confidence interval for the population mean μ \mu .\newline \square

Full solution

Q. The following random sample was selected from a normal distribution:\newline949722014102014 \begin{array}{llllllllll} 9 & 4 & 9 & 7 & 2 & 20 & 14 & 10 & 20 & 14 \end{array} \newline(a) Construct a 90% 90 \% confidence interval for the population mean μ \mu .\newline(b) Construct a 95% 95 \% confidence interval for the population mean μ \mu .\newline \square
  1. Calculate sample mean: Calculate the sample mean (xˉ\bar{x}) from the given data.\newlineData: [99, 44, 99, 77, 22, 2020, 1414, 1010, 2020, 1414]\newlinexˉ=(9+4+9+7+2+20+14+10+20+14)/10\bar{x} = (9 + 4 + 9 + 7 + 2 + 20 + 14 + 10 + 20 + 14) / 10\newlinexˉ=109/10=10.9\bar{x} = 109 / 10 = 10.9
  2. Calculate sample standard deviation: Calculate the sample standard deviation ss.s=((910.9)2+(410.9)2+(910.9)2+(710.9)2+(210.9)2+(2010.9)2+(1410.9)2+(1010.9)2+(2010.9)2+(1410.9)2101)s = \sqrt{\left(\frac{(9-10.9)^2 + (4-10.9)^2 + (9-10.9)^2 + (7-10.9)^2 + (2-10.9)^2 + (20-10.9)^2 + (14-10.9)^2 + (10-10.9)^2 + (20-10.9)^2 + (14-10.9)^2}{10-1}\right)}s=(3.61+47.61+3.61+15.21+79.21+82.81+9.61+0.81+82.81+9.619)s = \sqrt{\left(\frac{3.61 + 47.61 + 3.61 + 15.21 + 79.21 + 82.81 + 9.61 + 0.81 + 82.81 + 9.61}{9}\right)}s=334.39s = \sqrt{\frac{334.3}{9}}s=37.14446.095s = \sqrt{37.1444} \approx 6.095
  3. Find t-values for confidence: Find the t-values for 90%90\% and 95%95\% confidence from t-distribution table for df=9df = 9.\newlinet(90%,df=9)1.833t(90\%, df=9) \approx 1.833\newlinet(95%,df=9)2.262t(95\%, df=9) \approx 2.262
  4. Calculate margin of error (9090%): Calculate the margin of error for 9090% confidence interval.\newlineME90=t(90%,df=9)(s10)ME_{90} = t(90\%, df=9) \cdot \left(\frac{s}{\sqrt{10}}\right)\newlineME90=1.833(6.09510)ME_{90} = 1.833 \cdot \left(\frac{6.095}{\sqrt{10}}\right)\newlineME90=1.8331.928ME_{90} = 1.833 \cdot 1.928\newlineME90=3.534ME_{90} = 3.534
  5. Calculate margin of error (9595%): Calculate the margin of error for 9595% confidence interval.\newlineME95=t(95%,df=9)(s10)ME_{95} = t(95\%, df=9) \cdot \left(\frac{s}{\sqrt{10}}\right)\newlineME95=2.262(6.09510)ME_{95} = 2.262 \cdot \left(\frac{6.095}{\sqrt{10}}\right)\newlineME95=2.2621.928ME_{95} = 2.262 \cdot 1.928\newlineME95=4.362ME_{95} = 4.362
  6. Construct 9090% confidence interval: Construct the 9090% confidence interval.\newline9090% CI = (xˉME90,xˉ+ME90)(\bar{x} - ME_{90}, \bar{x} + ME_{90})\newline9090% CI = (10.93.534,10.9+3.534)(10.9 - 3.534, 10.9 + 3.534)\newline9090% CI = (7.366,14.434)(7.366, 14.434)
  7. Construct 9595% confidence interval: Construct the 9595% confidence interval.\newline9595% CI = (xˉME95,xˉ+ME95)(\bar{x} - ME_{95}, \bar{x} + ME_{95})\newline9595% CI = (10.94.362,10.9+4.362)(10.9 - 4.362, 10.9 + 4.362)\newline9595% CI = (6.538,15.262)(6.538, 15.262)

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