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hand, the ef ciency (fom) is dramatically improved and every calculation with p 09 passes MCNP s ten statistical checks ([23], see also Section 1019) In particular, note that the tail slope estimate (k > 4) is indicating at least three nite moments for all calculations, so that use of the central limit theorem is possible, unlike the calculations in Table 101 The last line shows that even with a very poor choice of a very high transform parameter, the ail slope indicates that the variance is nite Elaborating a bit more, using the central limit theorem requires at least two nite moments Eventually, the high score tail of the density f (x) must decrease faster than 1/x 3 (slope 3), or else the second moment, x 2 f (x) dx, will not be nite Note that it is even better if the high score tail of the density f (x) decreases faster than 1/x 5 (slope 5), so that four nite moments exist When four moments exist, not only is the central limit theorem applicable, but also the sample variance is usually a good estimate of the true variance used in the central limit theorem Valid con dence intervals are thus much more likely when four moments exist A complete print (event log) of the largest scoring history for p = 06 indicates that one of the (relatively rare) high-energy 14 MeV source neutrons is responsible for the largest score At this point, one would attempt to bias the sampling of the source so that more 14 MeV neutrons were sampled, with correspondingly smaller weights One could proceed by using the weight window generator to estimate an energy-dependent weight window, then adjust the source energy bias so that the source particles are within their space-energy weight windows Space does not permit description here, but see [3] for an illustration of source energy bias and space-energy weight windows.

She indicates that she is frustrated because she knows something is wrong, but she does not know what it is She wants to know what the problem is and how to deal with it Nikki reports that she was diagnosed 8 years ago as having Grave s disease (hyperthyroidism with one or more of the following: goiter, exophthalmos, pretibial myxedema) The disease is not controlled at the present time, although she has had isotope therapy, which resulted in the reverse condition (hypothyroidism) Side effects of the disease and/or treatment, according to Nikki, include memory problems and emotional side effects such as nervousness and irritability Nikki is married and has two daughters (aged 2 and 11) Her husband is about to finish his PhD program in physical education.

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She returned to school after more than 10 years and is now a junior in home economics at the University of Alabama, majoring in food and nutrition One of her stated reasons for returning to school was to be a good mother to her older child, who is gifted Nikki is currently taking Introductory Statistics, Economics, and two classes in nutrition While doing well in nutrition courses, she is having great difficulty with statistics and economics Nikki works part-time at a local child development center Although she is undertaking a great deal, she does not report a great deal of support from either her husband or parents Nikki says that she wants to be a county health counselor and work with pregnant teenagers regarding their prenatal care She likes to read and play the piano generate, create matrix barcode none in net .

Nikki successfully used trial-anderror strategy to olve verbal questions Asked to explain the meaning of the saying, One swallow doesn t make a summer, on a task testing her commonsense understanding of social situations, she was puzzled at first, asking, One swallow She did not seem to be familiar with the saying She began to describe the migration of swallows While giving trial responses, she was able to find the proper answer It should be noted that, when she faced a hard question, she often laughed, saying, Oh, boy, before trying Laughing seemed to be her strategy for coping with anxiety Nikki exhibited her poor facility with numbers and her fear of them On a test of general information, her responses to two questions requiring numerical answers (eg, the population of the United States) were not even in the ballpark.

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She also had extreme difficulty in repeating digits in their reverse order When solving oral arithmetic problems, she was so nervous that she could not correct her responses even when she was aware that she was giving wrong answers After the task she gave a sigh of relief Nikki showed her poor short-term memory, having to check with the key very often on a task requiring her to copy symbols that are paired with numbers Though she tried to be careful, she made several mistakes, for example, copying the symbol for the number 3 in the box for the number 4.

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Test Results and Interpretation On the WAIS-III, Nikki earned a Verbal IQ of 106, a Performance IQ of 99, and Full Scale IQ of 103, scores that place her in the Average classification of intelligence and rank her at about the 50th 66th percentile for people her age (scores from all tests are listed in Table 127) Although her Verbal and Performance appear similar on the surface, Nikki s highly consistent scores on the three IQs mask the high degree of variability that characterized her subtest profile Because of that variability, neither the Full Scale IQ nor the Verbal IQ provide a meaningful representation of her overall abilities The Verbal scale is comprised of two indexes: Verbal Comprehension and Working Memory In Nikki s case, these two indexes were significantly different from one another, rendering the Verbal IQ useless as a meaningful representation of her overall verbal skills.

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Examination of these indexes separately is much more informative Nikki earned a Verbal Comprehension Index of 118 (88th percentile; 113 122 with 90% confidence) and a Working Memory Index of 82 (12th percentile; 77 89 with 90% confidence) The discrepancy between the indexes that comprise her Verbal scale indicate that Nikki s verbal conceptualization, knowledge, and expression are much stronger than her number ability and sequential processing In addition, Nikki s Verbal Comprehension Index (118) was also significantly higher than her Perceptual Organization Index of 103 (58th percentile; 85 100 with 90% confidence) The discrepancy between these two indexes indicates that Nikki s ability to answer oral questions measuring factual knowledge, word meanings, and verbal expression is much stronger than her ability to integrate visual stimuli, reason nonverbally, and apply visual motor skills to solve problems.

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working, and what plans are already established to address or change these components This is much more technical, but it is still worthwhile to collect There are many different ways that reporting systems can be created Even for a data warehouse there are many components involved You need to understand what technology is being used to extract, prepare, publish, and use the data 9 provides more details about each of these components when they are part of a data warehouse For now, ask the following questions to help identify the technology and tools currently being used: What technologies or products are used Are these are the most current release of the product Is this component stable Does this component perform acceptably Is this component supportable Is this component sustainable for the future Are there any plans in place that will modify this technical environment Table 3-2 shows an example of how to track this technology inventory By documenting a summary of technical details, you can keep track of all the different moving parts of the system You may ask what technology each system uses for the technical components listed in Table 3-2 More information about what each of these different technologies and tools does is rovided in 9 In addition to the Technology Inventory Matrix, it is helpful to document the answers to the other questions One group may be using the most current release of a tool, which is meeting their needs Another group may use an earlier version of the same product but without the same level of satisfaction The Technology Inventory Matrix provides a handy cross-reference for nding the appropriate detail for a single tool You need to look at the details for each group that is using that tool.

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