Val wanted to know the average shearing strength, in pounds (lbs.), of a particular kind of rivet sold in a hardware store. He tested 20 rivets as samples and got the following results.
518
490
513
598
510
532
512
455
500
512
501
487
498
496
500
498
515
520
497
502
Construct a confidence interval for the population mean using 99% confidence.
"+532+512+455+500+512+501"
"+487+498+496+500+498+515"
"+520+497+502)=507.7"
"s^2=\\dfrac{1}{20-1}\\displaystyle\\sum_{i=1}^{20}(x_i-507.7)^2=\\dfrac{13280.2}{19}"
"s=\\sqrt{\\dfrac{13280.2}{19}}\\approx26.4378"
The critical value for "\\alpha = 0.01" and "df = n-1 = 19" degrees of freedom is "t_c = z_{1-\\alpha\/2; n-1} = 2.860935."
The corresponding confidence interval is computed as shown below:
"=(507.7-2.860935\\times\\dfrac{26.4378}{\\sqrt{20}}, \\bar{x}+t_c\\times\\dfrac{s}{\\sqrt{n}})"
"507.7+2.860935\\times\\dfrac{26.4378}{\\sqrt{20}})"
"=(490.7871, 524.6129)"
Therefore, based on the data provided, the 99% confidence interval for the population mean is "490.7871< \\mu < 524.6129," which indicates that we are 99% confident that the true population mean "\\mu" is contained by the interval "(490.7871, 524.6129)."
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