A random sample is drawn from a population of known standard deviation 22.1. Construct a 95% confidence interval for the population mean based on the information given (not all of the information given need be used).
a. n=121, x¯=82.4, s=21.9 n=121, x¯=82.4, s=21.9
b. n=81, x¯=82.4, s=21.9 n=81, x¯=82.4, s=21.9
The corresponding confidence interval is computed as shown below:
a) The critical value for "\\alpha = 0.05, df=n-1=120" degrees of freedom is "t_c=z_{1\u2212\u03b1\/2;n\u22121}=1.97993."
"82.4+1.97993\\times\\dfrac{21.9}{\\sqrt{121}})"
"=(78.458,86.342)"
Therefore, based on the data provided, the 95% confidence interval for the population mean is "78.458< \\mu < 86.342," which indicates that we are 95% confident that the true population mean "\\mu" is contained by the interval "(78.458,86.342)."
b) The critical value for "\\alpha = 0.05, df=n-1=80" degrees of freedom is "t_c=z_{1\u2212\u03b1\/2;n\u22121}=1.990063."
"CI=(82.4-1.990063\\times\\dfrac{21.9}{\\sqrt{81}},""82.4+1.990063\\times\\dfrac{21.9}{\\sqrt{81}})"
"=(77.558,87.242)"
Therefore, based on the data provided, the 95% confidence interval for the population mean is "77.558< \\mu < 87.242," which indicates that we are 95% confident that the true population mean "\\mu" is contained by the interval "(77.558,87.242)."
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