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10-68. A procurement specialist has purchased 25 resistors from vendor 1 and 35 resistors from vendor 2. Each resistor s resistance is measured with the following results: Vendor 1 96.8 99.6 99.7 99.4 98.6 100.0 99.4 101.1 99.8 100.3 99.9 97.7 99.1 98.5 101.1 98.6 99.6 98.3 103.7 101.9 101.2 98.2 97.7 101.0 98.2

Contents of collapsed region Task List shortcut Breakpoint Selection Margin Figure 2.16 The Code Editor window shows the location of the Margin Indicator Bar and the Selection Margin. Also notice that the contents of a collapsed region can be displayed by hovering the mouse over the collapsed region.

Vendor 2 106.8 103.2 102.6 104.0 104.6 106.4 106.8 103.7 100.3 106.3 103.5 106.8 104.7 106.8 104.0 102.2 106.3 104.1 104.7 105.1 107.0 102.8 109.2 107.1 108.0 104.0 104.3 104.2 107.2 107.7 102.2 106.2 105.8 103.4 105.4

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two different test conditions Use normal probability plots of the data to check these assumptions. (b) Find a 99% con dence interval on the difference in mean failure stress under the two different test conditions. (c) Using the con dence interval constructed in part (b), does the evidence support the claim that the rst test conditions yield higher results, on the average, than the second Explain your answer. 10-70. Consider Supplemental Exercise 10-69. (a) Construct a 95% con dence interval on the ratio of the variances, 1 2, of failure stress under the two different test conditions. (b) Use your answer in part (b) to determine whether there is a signi cant difference in variances of the two different test conditions. Explain your answer. 10-71. A liquid dietary product implies in its advertising that use of the product for one month results in an average weight loss of at least 3 pounds. Eight subjects use the product for one month, and the resulting weight loss data are reported below. Use hypothesis-testing procedures to answer the following questions. Initial Weight (lb) 165 201 195 198 155 143 150 187 Final Weight (lb) 161 195 192 193 150 141 146 183

The strong name consists of the friendly name, the version, the culture (which should always be set to neutral for the main assembly file), and the public-key token. The public-key token represents an abbreviated version of the public key. In 13, Site Security, code access security was covered. One of the important considerations when using code access security is the strength of the evidence. Different permissions may be provided based on a public-key token. For example, Microsoft has granted itself full permissions, based on their public key. There may be situations in which it is important to grant a certain company s code more permissions than those that are normally granted. This can be easily done at the company level if the company only has a single public key. Figure 15.6 shows how a code group can be added for MyCompany, based on a public key. All code that is published by MyCompany has the permissions that are assigned to the code group. When the DataComponent assembly is compiled, the assembly s manifest can be viewed with ILDASM.exe and contains the public key, as shown in Figure 15.7. Also notice that the version has been updated to reflect the fixed setting of version 2.0.0.0.

(a) What distributional assumption is needed to test the claim that the variance of resistance of product from vendor 1 is not signi cantly different from the variance of resistance of product from vendor 2 Perform a graphical procedure to check this assumption. (b) Perform an appropriate statistical hypothesis-testing procedure to determine whether the procurement specialist can claim that the variance of resistance of product from vendor 1 is signi cantly different from the variance of resistance of product from vendor 2. 10-69. An article in the Journal of Materials Engineering (1989, Vol. 11, No. 4, pp. 275 282) reported the results of an experiment to determine failure mechanisms for plasmasprayed thermal barrier coatings. The failure stress for one particular coating (NiCrAlZr) under two different test conditions is as follows: Failure stress ( 106 Pa) after nine 1-hour cycles: 19.8, 18.5, 17.6, 16.7, 16.7, 14.8, 15.4, 14.1, 13.6 Failure stress ( 106 Pa) after six 1-hour cycles: 14.9, 12.7, 11.9, 11.4, 10.1, 7.9 (a) What assumptions are needed to construct con dence intervals for the difference in mean failure stress under the

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