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               260     CHAPTER 8 STATISTICAL INTERVALS FOR A SINGLE SAMPLE


                                                                                  Normal probability plot
                                                                             99
                                                                             95
                                           20.5                              90
                                                                             80
                                           18.0                             Percent  70
                                         Load at failure  15.5               40
                                                                             60
                                                                             50
                                                                             30
                                                                             20
                                           13.0
                                           10.5                              10 5
                                                                              1
                                           8.0                                    5   10  15   20  25
                                                                                     Load at failure
                                       Figure 8-6 Box and whisker plot for the  Figure 8-7  Normal probability
                                       load at failure data in Example 8-4.  plot of the load at failure data from
                                                                           Example 8-4.

               EXAMPLE 8-4       An article in the journal Materials Engineering (1989, Vol. II, No. 4, pp. 275–281) describes
                                 the results of tensile adhesion tests on 22 U-700 alloy specimens. The load at specimen failure
                                 is as follows (in megapascals):
                                                  19.8    10.1   14.9    7.5    15.4   15.4
                                                  15.4    18.5    7.9   12.7    11.9   11.4
                                                  11.4    14.1   17.6   16.7    15.8
                                                  19.5     8.8   13.6   11.9    11.4
                                 The sample mean is    13.71, and the sample standard deviation is s   3.55. Figures 8-6
                                                  x
                                 and 8-7 show a box plot and a normal probability plot of the tensile adhesion test data, re-
                                 spectively. These displays provide good support for the assumption that the population is nor-
                                 mally distributed. We want to find a 95% CI on  . Since n   22, we have n   1   21 degrees
                                 of freedom for t, so t 0.025,21    2.080. The resulting CI is

                                                     x   t    2,n 1 s  1n     x 	 t    2,n 1 s  1n
                                             13.71   2.08013.552  122     13.71 	 2.08013.552  122
                                                         13.71   1.57     13.71 	 1.57
                                                               12.14     15.28
                                 The CI is fairly wide because there is a lot of variability in the tensile adhesion test measurements.

                                    It is not as easy to select a sample size n to obtain a specified length (or precision of estima-
                                 tion) for this CI as it was in the known-  case because the length of the interval involves s (which
                                                                            . Note that the t-percentile depends on the
                                 is unknown before the data are collected), n, and t    2,n 1
                                 sample size n. Consequently, an appropriate n can only be obtained through trial and error. The re-
                                 sults of this will, of course, also depend on the reliability of our prior “guess” for  .
               EXERCISES FOR SECTION 8-3

               8-19.  Find the values of the following percentiles: t 0.025,15 ,  8-21.  Determine the t-percentile that is required to construct
               t 0.05,10 , t 0.10,20 , t 0.005,25 , and t 0.001,30 .  each of the following one-sided confidence intervals:
               8-20.  Determine the t-percentile that is required to construct  (a) Confidence level   95%, degrees of freedom   14
               each of the following two-sided confidence intervals:  (b) Confidence level   99%, degrees of freedom   19
               (a) Confidence level   95%, degrees of freedom   12  (c) Confidence level   99.9%, degrees of freedom   24
               (b) Confidence level   95%, degrees of freedom   24  8-22.  A research engineer for a tire manufacturer is investi-
               (c) Confidence level   99%, degrees of freedom   13  gating tire life for a new rubber compound and has built 16 tires
               (d) Confidence level   99.9%, degrees of freedom   15  and tested them to end-of-life in a road test. The sample mean
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