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A Continuous Distribution A manufacturing engineer is testing a power supply used in a notebook computer and, using 0.05, wishes to determine whether output voltage is adequately described by a normal distribution. Sample estimates of the mean and standard deviation of x 5.04 V and s 0.08 V are obtained from a random sample of n 100 units. A common practice in constructing the class intervals for the frequency distribution used in the chi-square goodness-of- t test is to choose the cell boundaries so that the expected frequencies Ei npi are equal for all cells. To use this method, we want to choose the cell boundaries a0, a1, p , ak for the k cells so that all the probabilities pi P1ai X ai 2

are equal. Suppose we decide to use k 8 cells. For the standard normal distribution, the intervals that divide the scale into eight equally likely segments are [0, 0.32), [0.32, 0.675) [0.675, 1.15), [1.15, ) and their four mirror image intervals on the other side of zero. For each interval pi 1 8 0.125, so the expected cell frequencies are Ei npi 100(0.125) 12.5. The complete table of observed and expected frequencies is as follows:

132 134 138 139 140 142 143 Add and Edit Slide Text Change the Font, Size and Colour Set Line Spacing Add a Text Box to a Slide Add Other Objects to a Slide Move a Slide Object Resize a Slide Object

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Show All Files. Displays all files that are located in the physical folder structure. This is handy way of viewing the files that are produced by the compiler. Properties. Displays the properties of the currently selected item. This option can be useful when looking for the full path to a file, project, or solution. If Visual SourceSafe is being used, the icons to the left of each item will display the Visual SourceSafe status, as shown in Figure 2.10.

Class Interval 4.948 4.986 5.014 5.040 5.066 5.094 5.132 Totals x x x x x x x x 4.948 4.986 5.014 5.040 5.066 5.094 5.132

The boundary of the rst class interval is x 1.15s 4.948. The second class interval is 3x 1.15s, x 0.675s2 and so forth. We may apply the eight-step hypothesis-testing procedure to this problem. 1. 2. The variable of interest is the form of the distribution of power supply voltage. H0: The form of the distribution is normal.

k 2 0

The Class View displays an object-oriented view of your solution, projects, and classes. This window is updated dynamically as you edit your code. Rightclicking an item in the Class View window displays a context-sensitive menu. This menu allows you to jump to the code definition of the currently select item. When using Visual Basic .NET, this window is primarily a read-only view; however other languages such as C# and Managed C++ offer the ability to add classes, methods, properties, and more from this window.

Since two parameters in the normal distribution have been estimated, the chi-square statistic above will have k p 1 8 2 1 5 degrees of freedom. 2 11.07. Therefore, we will reject H0 if 2 0 0.05,5 Computations:

8 2 0

13

a 112

0.64 8.

1. What are the three types of authentication that ASP.NET supports 2. What is required in order to enable SSL communications 3. When is the IUSR account used, and when is the ASPNET account used 4. What does the <deny users= /> tag mean 5. What are the four security policy levels

2 Conclusions: Since 2 0.64 11.07, we are unable to reject H0, and there 0 0.05,5 is no strong evidence to indicate that output voltage is not normally distributed. The P-value for the chi-square statistic 2 0.64 is P 0.9861. 0

EXERCISES FOR SECTION 9-7

1. Forms, Windows, and Passport. 2. A digital certificate. 3. The IUSR account is the anonymous account that is used when identity impersonation is set to true. The ASPNET account is the anonymous account that is used when impersonation is false. 4. Deny anonymous users. 5. Enterprise, Machine, User, and Optionally AppDomain.

9-59. Consider the following frequency table of observations on the random variable X. Values Observed Frequency 0 24 1 30 2 31 3 11 4 4 de ned as the number of calls during that one-hour period. The relative frequency of calls was recorded and reported as Value Relative Frequency Value Relative Frequency 5 0.067 11 0.133 6 0.067 12 0.133 8 0.100 13 0.067 9 0.133 14 0.033 10 0.200 15 0.067

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