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Overview and Description The Wide Range Intelligence Test (WRIT; Glutting et al., 2000) is an individually administered test of brief intelligence designed for people ages 4 through 85 years. The WRIT has four subtests and three IQs, all of which yield standard scores with means of 100 and standard deviations of 15. The three IQs are Verbal (Crystallized), Visual (Fluid), and General. Unlike the WASI, there is no two-subtest version. The WRIT manual uses the parenthetical description of the IQs as a reminder that the Verbal and Visual IQs can be conceptualized according to several common theoretical orientations such as the verbal/performance dichotomy associated with the Wechsler tests...or crystallized fluid dyad of Horn and Cattell... (Glutting et al., 2000, p. 4). The Verbal IQ comprises two subtests: Verbal Analogies and Vocabulary. The Visual IQ also comprises two subtests: Matrices and Diamonds. The Verbal Analogies subtest requires participants to orally provide a word that best completes a verbally presented analogy (e.g., Cow is to calf, as cat is to ____.). The Vocabulary subtest requires examinees to verbally define an orally presented word. For Matrices, individuals select a picture from among several alternatives in order to complete an implied visual perceptual

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x x Symmetric (b)

Positive or right skew (c)

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relationship The Diamonds subtest requires examinees to reproduce a two- and three-dimensional pattern using chips shaped as single or multiple diamonds Depending on the subject s age, abilities, and work style, the administration time for the WRIT ranges from 20 to 30 minutes The subtests are presented in alternating order of visual verbal visual verbal to maintain the interest and motivation of the participants The WRIT manual cautions that, as with all intelligence tests, the WRIT should be used as part of a larger evaluation so that history and other psychometric data can be integrated with the results in order to make clinical decisions Standardization and Psychometric Properties A large number of individuals (N = 2,285) from ages 4 to 85 comprised the standardization sample for the WRIT These subjects were stratified according to age, gender, ethnicity, educational level, and regional residence, and closely matched the 1997 US.

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distribution is skewed to the right, whereas mode median mean if the distribution is skewed to the left. Frequency distributions and histograms can also be used with qualitative or categorical data. In some applications there will be a natural ordering of the categories (such as freshman, sophomore, junior, and senior), whereas in others the order of the categories will be arbitrary (such as male and female). When using categorical data, the bins should have equal width. EXAMPLE 6-6 Figure 6-12 presents the production of transport aircraft by the Boeing Company in 1985. Notice that the 737 was the most popular model, followed by the 757, 747, 767, and 707. A chart of occurrences by category (in which the categories are ordered by the number of occurrences) is sometimes referred to as a Pareto chart. See Exercise 6-41. In this section we have concentrated on descriptive methods for the situation in which each observation in a data set is a single number or belongs to one category. In many cases, we work with data in which each observation consists of several measurements. For example, in a gasoline mileage study, each observation might consist of a measurement of miles per gallon, the size of the engine in the vehicle, engine horsepower, vehicle weight, and vehicle length. This is an example of multivariate data. In later chapters, we will discuss analyzing this type of data. EXERCISES FOR SECTION 6-4

It promotes sensible resource allocation to protect assets. It allows feedback in the decision process to better adjust security services to the situation at hand by traceability back to business factors and security needs. It encourages better balance among security, cost, and usability of an asset. It shows that you can combine services to better and more cheaply protect an asset.

Census data Twenty-three age groups were used with Ns ranging from 87 to 125 (most groups had 100 individuals) The overall gender of the standardization sample was 489% male and the overall ethnic composition of the sample was 69% Caucasian, 15% African American, 11%, Hispanic, and 6% other The reliability of the WRIT is quite strong The average internal consistency coefficients for the General, Verbal, and Visual IQs were 95, 94, and 92, respectively The internal consistency coefficients for the subtests were likewise strong: Vocabulary (91), Verbal Analogies (84), Matrices (90), and Diamonds (93) The stability of the WRIT was measured by testing 100 individuals from the standardization sample on two occasions, with a 6- to 115-day interval separating the testings (M = 305 days) Overall stability coefficients for the IQs were good: 91 for General IQ, 90 for Verbal IQ, and .

6-30. Construct a frequency distribution and histogram for the motor fuel octane data from Exercise 6-14. Use eight bins. 6-31. Construct a frequency distribution and histogram using the failure data from Exercise 6-15. 6-32. Construct a frequency distribution and histogram for the cotton content data in Exercise 6-16. 6-33. Construct a frequency distribution and histogram for the yield data in Exercise 6-17.

83 for Visual IQ The average stability coefficients were good for Vocabulary (83) and Verbal Analogies (90), but.

Figure 6-12 Airplane production in 1985. (Source: Boeing Company.)

The following potential liabilities may result from applying this pattern:

java code 128 reader

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java code 128 reader

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java code 128 reader

java code 128 reader