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We said that a finding is statistically significant, or significant, if it is unlikely to have occurred by chance. P-value is what tells us just how unlikely a finding actually is. The P-value is the probability of getting a finding (statistic) as extreme, or more extreme, as we obtained by chance alone. This requires that we have some expectation about what we ought to get. In other words, the P-value is the probability of getting a finding at least as far removed from expected as we got. A decision about significance can then be made by comparing the obtained P-value with a stated value of . example: Suppose it turns out that Todd s 50 throws are approximately normally distributed with mean 47.5 yards and standard deviation 8 yards. His claim is that he can average 50 yards per throw. What is the probability of getting a finding this far below expected by chance alone (that is, what is the P-value) if his true average is 50 yards (assume the population standard deviation is 8 yards) Is this finding significant at = 0.05 At = 0.01 solution: We are assuming the population is normally distributed with mean 50 and standard deviation 8. The situation is pictured below:

The following example is a function that takes in an array of the std_logic type (described in 9, Synthesis and Appendix A, Standard Logic Package ) and returns an integer value. The integer value represents the numeric value of all of the bits treated as a binary number:

12. The mechanism below has been proposed for the reaction of CHCl3 with Cl2. Step l: Cl 2 (g ) 2Cl( g ) fast slow Step 2: Cl(g) + CHCl3(g) CCl3(g) + HCl(g)

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B2B exchange requirements are captured in the DTDs and schemas. The DTDs form the logic and define the tags of the XML documents. Using the tags defined by the DTDs, the developers can create the actual XML documents to represent the information needed in the B2B exchange. Once all the initial physical XML documents are created, the developers need to explore how to process these documents.

Part 2:

22. Which of the following is the best reason to use a t-distribution rather than a normal distribution when testing for a population mean a. You should always use a t-distribution for small samples. b. You are unable to compute the sample standard deviation. c. The normal distribution is too variable. d. The population standard deviation is unknown. e. t-distributions are very similar to the normal distribution for large samples.

Virtual presentations have some signi cant limitations, including lack of visual clues, diminished ability to build rapport and trust, technological challenges, outside distractions, reduced attention spans, minimized ability for participants to control the presentation, greater challenge to maintain participant focus, more dif culty in controlling and directing participants, reduced access to presenters, greater dif culty in encouraging participation, and challenges in accommodating different communication styles.

What is GNU gettext and how do I use it GNU gettext is part of the GNU Translation Project, and provides a standard way of creating and using translation tables for an application. Under this system, translation strings for different languages are specified in human-readable message template (*.po) files, one for each language. These files are then converted to binary catalog (*.mo) files, which are distributed with the application. By convention, GNU gettext uses a directory-based layout for *.mo translation files, wherein translation files for different languages are stored in separate directories named according to locale or language (Figure 9-4 shows an example). It is worth noting that Zend_Translate s source detection feature can recognize and use this directory layout automatically, thereby allowing developers to use existing GNU gettext sources in a PHP application with no additional modification.

case Event.WINDOW_DESTROY:

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