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               250     CHAPTER 8 STATISTICAL INTERVALS FOR A SINGLE SAMPLE


                                 The end-points or bounds l and u are called the lower- and upper-confidence limits, respec-
                                 tively, and 1    is called the confidence coefficient.
                                    In our problem situation, because Z   1X   2	1 	 1n2  has a standard normal distribu-
                                 tion, we may write

                                                                 X
                                                       P  e z  	 2       z  	 2  f   1
                                                                  	 1n

                                 Now manipulate the quantities inside the brackets by (1) multiplying through by  	 1n , (2)
                                 subtracting X  from each term, and (3) multiplying through by  1. This results in


                                                  P  eX   z  	 2        X   z  	 2    f   1            (8-6)
                                                            1n                1n
                                 From consideration of Equation 8-4, the lower and upper limits of the inequalities in Equation
                                 8-6 are the lower- and upper-confidence limits L and U, respectively. This leads to the fol-
                                 lowing definition.


                       Definition
                                      x
                                    If  is the sample mean of a random sample of size n from a normal population with
                                                   2
                                    known variance   , a 100(1   )% CI on   is given by
                                                       x   z  	 2   	 1n     x   z  	 2   	 1n      (8-7)

                                    where z  	 2  is the upper 100 	2  percentage point of the standard normal distribution.



               EXAMPLE 8-1       ASTM Standard E23 defines standard test methods for notched bar impact testing of metallic
                                 materials. The Charpy V-notch (CVN) technique measures impact energy and is often used to
                                 determine whether or not a material experiences a ductile-to-brittle transition with decreasing
                                 temperature. Ten measurements of impact energy (J) on specimens of A238 steel cut at 60ºC
                                 are as follows: 64.1, 64.7, 64.5, 64.6, 64.5, 64.3, 64.6, 64.8, 64.2, and 64.3. Assume that
                                 impact energy is normally distributed with    1J. We want to find a 95% CI for  , the mean
                                                                             z     1.96,  n   10,     1, and
                                 impact energy.  The required quantities are  z   2  0.025
                                 x    64.46. The resulting 95% CI is found from Equation 8-7 as follows:


                                                          x   z  	 2        x   z  	 2
                                                                1n               1n
                                                                1                      1
                                                    64.46   1.96        64.46   1.96
                                                               110                   110
                                                               63.84     65.08

                                 That is, based on the sample data, a range of highly plausible vaules for mean impact energy
                                 for A238 steel at 60°C is 63.84J     65.08J.

                                 Interpreting a Confidence Interval
                                 How does one interpret a confidence interval? In the impact energy estimation problem in
                                 Example 8-1 the 95% CI is 63.84       65.08, so it is tempting to conclude that   is within
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