A random sample is drawn from a population of known standard deviation 11.3. Construct 90%confidence interval for the population mean based on the information given (not all of the information given need be used).
a. n=36, x¯=105.2, s=11.2n=36, x¯=105.2, s=11.2
b. n=100, x¯=105.2, s=11.2n=100, x¯=105.2, s=11.2
The corresponding confidence interval is computed as shown below:
a) The critical value for "\\alpha = 0.10, df=n-1=35" degrees of freedom is "t_c=z_{1\u2212\u03b1\/2;n\u22121}=1.689572."
"CI=(105.2-1.689572\\times\\dfrac{11.2}{\\sqrt{36}},""105.2+1.689572\\times\\dfrac{11.2}{\\sqrt{36}})"
"=(102.046,108.354)"
Therefore, based on the data provided, the 90% confidence interval for the population mean is "102.046< \\mu < 108.354," which indicates that we are 90% confident that the true population mean "\\mu" is contained by the interval "(102.046,108.354)."
b) The critical value for "\\alpha = 0.10, df=n-1=99" degrees of freedom is "t_c=z_{1\u2212\u03b1\/2;n\u22121}= 1.660391."
"CI=(105.2- 1.660391\\times\\dfrac{11.2}{\\sqrt{100}},""105.2+ 1.660391\\times\\dfrac{11.2}{\\sqrt{100}})"
"=(103.340,107.060)"
Therefore, based on the data provided, the 90% confidence interval for the population mean is "103.340< \\mu < 107.060," which indicates that we are 90% confident that the true population mean "\\mu" is contained by the interval "(103.340,107.060)."
Comments
Leave a comment