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IMPORTANT TERMS AND CONCEPTS In the E-book, click on any term or concept below to go to that subject. Addition rule Axioms of probability Bayes theorem Conditional probability Equally likely outcomes Event Independence Multiplication rule Mutually exclusive events Outcome Random experiment Random variables discrete and continuous Sample spaces discrete and continuous Total probability rule With or without replacement CD MATERIAL Permutation Combination

Table 6.34 Correlating response with security services and business priorities (continued)

tery. Clearly, the WASI cannot be used alone to make diagnoses or educational placement decisions, and should not be used to replace more comprehensive measures of intelligence.

2-1.4

Counting Techniques (CD Only)

Kaufman Brief Intelligence Test (K-BIT)

SECURITY SERVICE Security management BUSINESS PRIORITY High CRITERIA INDICATING SELECTION System cannot be down more than eight hours EXAMPLE SECURITY MECHANISMS Security management plans and procedures for contingency operation are in place and assure response in 8 hours Security management plans and procedures for backup and recovery will restore a functioning system in twenty-four hours System backups with all security management information must be run every two days and recovery plans are in place

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In many of the examples in 2, it is easy to determine the number of outcomes in each event. In more complicated examples, determining the number of outcomes that comprise the sample space (or an event) becomes more dif cult. To associate probabilities with events, it is important to know the number of outcomes both in an event and in the sample space. Some simple rules can be used to simplify the calculations. In Example 2-4, an automobile manufacturer provides vehicles equipped with selected options. Each vehicle is ordered With or without an automatic transmission With or without air conditioning With one of three choices of a stereo system With one of four exterior colors The tree diagram in Fig. 2-6 describes the sample space of all possible vehicle types. The size of the sample space equals the number of branches in the last level of the tree and this quantity equals 2 2 3 4 = 48. This leads to the following useful result.

Overview and Description The Kaufman Brief Intelligence Test (K-BIT, Kaufman & Kaufman, 1990) is a brief, individually administered test of verbal and nonverbal intelligence for individuals ages 4 to 90 years. The K-BIT includes two subtests: Vocabulary (both Expressive Vocabulary and Definitions) and Matrices. The Vocabulary subtest measures verbal, school-related skills via the assessment of word knowledge and verbal concept formation. Matrices measures nonverbal reasoning by assessing the ability to perceive relationships and complete analogies. Administration time for the K-BIT is quite short, taking approximately 15 to 30 minutes to administer. Standardization and Psychometric Properties The K-BIT was standardized on a sample of 2,022 subjects ages 4 to 90 years. The sample was stratified within 14 age groups by gender, geographic region, socioeconomic status, and race/ ethnic group. The sample sizes for each of the age groups between ages 4 and 10 were between 105 and 122, whereas the sample sizes for each of the age groups between ages 11 and 54 were larger (Ns ranged from 148 to 207). The oldest age group (55 90 years) comprised 155 people. The sample closely approximated the 1990 U.S. Census data (however, 1985 U.S. Census data were used if 1990 projections were not available). The K-BIT was co-normed and codeveloped with the KAIT, which allows for easy interpretation of the instruments when used together. The mean split-half reliability coefficients for both subtests and the K-BIT IQ Composite

Multiplication Rule (for counting techniques)

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