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This chapter covers the methods of creating components, or reusable assemblies, by first creating a component and then using it. After that, the versioning of assemblies is discussed. This chapter also explores the differences between private and shared assemblies. Much of the discussion is spent on exploring strong names and binding policies. This chapter finishes by looking at crosslanguage inheritance.

Table 10-1 Catalyst Yield Data, Example 10-5 Observation Number 1 2 3 4 5 6 7 8 x1 s1 Catalyst 1 91.50 94.18 92.18 95.39 91.79 89.07 94.72 89.21 92.255 2.39 x2 s2 Catalyst 2 89.19 90.95 90.46 93.21 97.19 97.04 91.07 92.75 92.733 2.98

6. Reject H0 if t0 t0.025,14 2.145 or if t0 7. Computations: From Table 10-1 we have x1 s2 2.98, and n2 8. Therefore s2 p sp and t0 1n1 27.30 12s2 1n2 12s2 1 2 n1 n2 2 2.70

One of the best features of Visual Studio .NET is its ability to work with Web services seamlessly. This chapter explores Web services from the Visual Studio .NET perspective by looking at some of the Web service basics and then consuming an existing Web service. The balance of the chapter focuses on creating a Web service.

92.733,

172 12.392 2 712.982 2 8 8 2

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1 2.70 B8

This first part of this chapter explores some of the methods of migrating from ASP code to ASP.NET. The chapter then examines methods of using COM components based on both early and late binding techniques. The last part of this chapter covers some of the methods of deploying ASP.NET Web applications.

92.733 1 8

0.35 2.145, the null hypothesis cannot be 8. Conclusions: Since 2.145 t0 rejected. That is, at the 0.05 level of signi cance, we do not have strong evidence to conclude that catalyst 2 results in a mean yield that differs from the mean yield when catalyst 1 is used. A P-value could also be used for decision making in this example. From Appendix Table IV we nd that t0.40,14 0.258 and t0.25,14 0.692. Therefore, since 0.258 0.35 0.692, we conclude that lower and upper bounds on the P-value are 0.50 P 0.80. Therefore, since the P-value exceeds 0.05, the null hypothesis cannot be rejected.

This chapter, which is available on the Web site for this book, covers the Mobile Internet Toolkit, which can be used to solve many of the problems that are associated with the diverse selection of mobile devices that are on the market today.

The Minitab two-sample t-test and con dence interval procedure for Example 10-5 follows:

Click the Insert Worksheet button ( ). You can also right-click a worksheet tab and click Insert to open the Insert dialog box, where you can choose to insert a worksheet.

Two-Sample T-Test and CI: Cat 1, Cat 2 Two-sample T for Cat 1 vs Cat 2 Cat 1 Cat 2 N 8 8 Mean 92.26 92.73 StDev 2.39 2.99 SE Mean 0.84 1.1

This book is intended to be read in a linear fashion by a person who has had some Visual Basic programming and HTML experience, and who is now trying to expand into ASP.NET. This book does not cover basic programming constructs such as if-then statements and syntactical constructs. This book is intended to fill in the gaps that a Visual Basic developer may have by covering object-oriented programming in detail, and examining inheritance, encapsulation, and polymorphism as it relates to ASP.NET and Visual Basic .NET. Readers who are already familiar with the .NET Framework and Visual Basic .NET may choose to skim the some of the chapter. Evaluators of this book for use in a school curriculum should consider placing this course directly after a Visual Basic .NET prerequisite course.

Difference mu Cat 1 Estimate for difference: 95% CI for difference: ( T-Test of difference 0 Both use Pooled StDev

Notice that the numerical results are essentially the same as the manual computations in Example 10-5. The P-value is reported as P 0.73. The two-sided CI on 1 2 is also reported. We will give the computing formula for the CI in Section 10-3.3. Figure 10-2 shows the normal probability plot of the two samples of yield data and comparative box plots. The normal probability plots indicate that there is no problem with the normality assumption. Furthermore, both straight lines have similar slopes, providing some veri cation of the assumption of equal variances. The comparative box plots indicate that there is no obvious difference in the two catalysts, although catalyst 2 has slightly greater sample variability.

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