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When the application is run, a Web page is displayed that contains the count of the customers in the customers table. To test the ExecuteDataSet functionality, a Datagrid is added to the Web page, and it displays the contents of the DataSet that is returned from the ExecuteDataSet method. The page now contains the following code:

10-5.4

Appendix Charts VIo, VIp, VIq, and VIr provide operating characteristic curves for the F-test given in Section 10-5.1 for 0.05 and 0.01, assuming that n1 n2 n. Charts VIo and VIp are used with the two-sided alternate hypothesis. They plot against the abscissa parameter

Imports DataComponent Imports System.Data.SqlClient Public Class WebForm1 Inherits System.Web.UI.Page Protected WithEvents DataGrid1 As System.Web.UI.WebControls.DataGrid Private Sub Page_Load( _ ByVal sender As System.Object, _ ByVal e As System.EventArgs) _ Handles MyBase.Load Dim cn As New SqlConnection( _ server=.;database=northwind;trusted_connection=true ) Dim x As Long x = Db.ExecuteScaler( _ cn, Select count(*) from customers ) Response.Write( Count of Customers= & x.ToString()) Dim SQL As String SQL = Select _ & CustomerID, CompanyName, ContactName, ContactTitle _ & from customers _ & where CompanyName like A% DataGrid1.DataSource = Db.ExecuteDataSet(cn, SQL) DataBind() End Sub End Class

(10-30)

for various n1 EXAMPLE 10-12

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For the semiconductor wafer oxide etching problem in Example 10-11, suppose that one gas resulted in a standard deviation of oxide thickness that is half the standard deviation of oxide thickness of the other gas. If we wish to detect such a situation with probability at least 0.80, is the sample size n1 n2 20 adequate Note that if one standard deviation is half the other,

The browser output is shown in Figure 15.1. The advantage of using the DataComponent is that the developer did not need to be concerned about the specifics of accessing the database, and this saved several lines of code in the Web project. This component, which is compiled into an assembly, is available for use in many applications.

All Office programs share a common appearance and many of the same features. These features include a Ribbon, which appears instead of the menus and toolbars found in previous versions of Microsoft Office; a Quick Launch toolbar, which features a customisable set of frequently used commands; and scroll bars, which you can use to navigate an open file in a program window. When you learn how to navigate one Office program, you can use the same skills to navigate the others. If you are new to Office, you should take a moment to familiarise yourself with the suite s various on-screen elements.

By referring to Appendix Chart VIo with n1 n2 n 20 and 2, we nd that 0.20. Therefore, if 0.20, the power of the test (which is the probability that the difference in standard deviations will be detected by the test) is 0.80, and we conclude that the sample sizes n1 n2 20 are adequate.

10-5.5

Some questions that may come to mind are, How is the reference to the project or assembly stored in the Web application Does the .dll file need to be in the same folder as it currently is in when the Web application is deployed What Registry entries are required on the production Web server in order to get the Web application to locate the DataComponent The .NET common language runtime needs to locate and bind to the assembly at run time. The process or set of steps and logic involved in locating the assembly is called probing. Probing is discussed in more detail a little later in this chapter.

2 1 2 2,

2 2 2 1

Figure 15.2 Setting a reference to an external assembly automatically creates a copy of the assembly to the bin folder of the Web application.

is an F with n2 1 and n1 1 degrees of freedom. Therefore, P1 f1 2, n2 1, n1 1 F f 2,n2 1, n1 1 2 1 . Substitution for F and manipulation of the inequalities will lead to the 100(1 )% con dence interval for 2 2. 1 2

De nition If s2 and s2 are the sample variances of random samples of sizes n1 and n2, respec1 2 2 tively, from two independent normal populations with unknown variances 2 and 2 , 1 2 2 then a 100(1 )% con dence interval on the ratio 1 2 is s2 1 f s2 1 2

1

2 1 2 2

(10-31)

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