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individuals with learning impairments may be suited for administration of these instruments. The K-SNAP and K-FAST are two brief specialized tests in what they measure and the purposes for which they are applicable. The K-SNAP measures neuropsychological functioning across various levels of complexity, and the K-FAST measures functional intelligence and achievement, as well as specific facets of adaptive behavior. These two instruments were co-normed and have strong psychometric properties. The validity of these instruments is supported by factor-analytic data that shows the K-FAST to measure primarily crystallized abilities and the K-SNAP to measure primarily fluid and visualization skills.

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As an additional computation, the total number of different subsets of size six is found to be a 50 b 6 50! 6! 44! 15,890,700

Alternative Approach to Interpreting the WAIS-III: Applying the Theory-Based Flanagan-Kaufman Interpretive Method for the WISC-IV

When probability is discussed in this chapter, the probability of an event is determined as the ratio of the number of outcomes in the event to the number of outcomes in the sample space (for equally likely outcomes). Therefore, the probability that a sample contains exactly two defective parts is 535,095 15,890,700 0.034

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Log files from application servers, firewalls and other application and networking devices will provide important use and access audit trails. They will identify where the access originated, potentially what was being accessed, and for how long. They can be used to monitor use for performance and quality assurance reasons, as well as to provide information for forensic investigations. Such processes may already be employed at the enterprise, but they should also be enabled by the business partner. Implementation steps (continued): 5. Perform service termination activities.

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The stem-and-leaf display and the histogram provide general visual impressions about a data set, while numerical quantities such as x or s provide information about only one feature of the data. The box plot is a graphical display that simultaneously describes several important features of a data set, such as center, spread, departure from symmetry, and identi cation of unusual observations or outliers. A box plot displays the three quartiles, the minimum, and the maximum of the data on a rectangular box, aligned either horizontally or vertically. The box encloses the interquartile range with the left (or lower) edge at the rst quartile, q1, and the right (or upper) edge at the third quartile, q3. A line is drawn through the box at the second quartile (which is the 50th percentile or the median), q2 x. A line, or whisker, extends from each end of the box. The lower whisker is a line from the rst quartile to the smallest data point within 1.5 interquartile ranges from the rst quartile. The upper whisker is a line from the third quartile to the largest data point within 1.5 interquartile ranges from the third quartile. Data farther from the box than the whiskers are plotted as individual points. A point beyond a whisker, but less than 3 interquartile ranges from the box edge, is called an outlier. A point more than 3 interquartile ranges from the box edge is called an extreme outlier. See Fig. 6-13. Occasionally, different symbols, such as open and lled circles, are used to identify the two types of outliers. Sometimes box plots are called box-and-whisker plots.

s 11 and 12 provide two methods for interpreting the profile of scores yielded by the WAIS-III, one requiring a sequence of steps and the other demanding a more simultaneous synthesis of the pattern of a person s scores. These two methods parallel the sequential (multistep) and simultaneous interpretive systems developed for the WAIS-R in the first edition of this book (Kaufman, 1990). The multistep method also mirrors the interpretive approach we have applied to other Wechsler scales (Kaufman & Lichtenberger, 1999, 2000; Lichtenberger & Kaufman, 2004) and reflects the tenets of the original interpretive system that Kaufman (1979) developed for the WISC-R. More recently, Kaufman and his colleagues have modified his original interpretive system substantially in favor of a new approach that is

Whisker extends to smallest data point within 1.5 interquartile ranges from first quartile First quartile Second quartile Third quartile

Andy Longshaw is an independent consultant, writer and educator specializing in enterprise platforms (both .NET and J2EE), Web-based technologies, Web Services, and components, particularly the design and architectural decisions required to use these technologies successfully. In recent years, Andy has worked on Internet technology projects and architecture for organizations such as Tesco Stores and Barclays Bank.

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java code 128 reader

java code 128 reader

java code 128 reader

java code 128 reader

java code 128 reader

java code 128 reader

java code 128 reader

java code 128 reader

java code 128 reader

java code 128 reader

java code 128 reader

java code 128 reader