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P1Z 4.62 cannot be found exactly from Appendix Table II. However, the last 3.992 0.00003. Because entry in the table can be used to nd that P1Z P1Z 4.62 P1Z 3.992, P1Z 4.62 is nearly zero. (6) Find the value z such that P1Z z2 0.05. This probability expression can be written as P1Z z2 0.95. Now, Table II is used in reverse. We search through the probabilities to nd the value that corresponds to 0.95. The solution is illustrated in Fig. 4-14. We do not nd 0.95 exactly; the nearest value is 0.95053, corresponding to z = 1.65. (7) Find the value of z such that P1 z Z z2 0.99. Because of the symmetry of the normal distribution, if the area of the shaded region in Fig. 4-14(7) is to equal 0.99, the area in each tail of the distribution must equal 0.005. Therefore, the value for z corresponds to a probability of 0.995 in Table II. The nearest probability in Table II is 0.99506, when z = 2.58. (5) The preceding examples show how to calculate probabilities for standard normal random variables. To use the same approach for an arbitrary normal random variable would require a separate table for every possible pair of values for and . Fortunately, all normal probability distributions are related algebraically, and Appendix Table II can be used to nd the probabilities associated with an arbitrary normal random variable by rst using a simple transformation.

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Wechsler, D (1928) Psychometric tests In I S Wechsler (Ed), A textbook of clinical neurology (pp 104 116) Philadelphia: W B Saunders Wechsler, D (1939) Measurement of adult intelligence Baltimore, MD: Williams & Wilkins Wechsler, D (1944) The measurement of adult intelligence (3rd ed) Baltimore, MD: Williams & Wilkins Wechsler, D (1945) A standardized memory scale for clinical use Journal of Psychology, 19, 87 95 Wechsler, D (1946) The Wechsler-Bellevue Intelligence Scale, Form II New York: The Psychological Corporation Wechsler, D (1949) Manual for the Wechsler Intelligence Scale for Children New York: The Psychological Corporation Wechsler, D (1950) Cognitive, conative and non-intellective intelligence American Psychologist, 5, 78 83 Wechsler, D (1955) Manual for the Wechsler Adult Intelligence Scale (WAIS) San Antonio, TX: The Psychological Corporation Wechsler, D (1958) Measurement and appraisal of adult intelligence (4th ed) Baltimore, MD: Williams & Wilkens Wechsler, D (1974).

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If X is a normal random variable with E(X ) Z is a normal random variable with E(Z) normal random variable. X

Manual for the Wechsler Intelligence Scale for Children-Revised (WISC-R) San Antonio, TX: The Psychological Corporation Wechsler, D (1981) Manual for the Wechsler Adult Intelligence Scale-Revised (WAIS-R) San Antonio, TX: The Psychological Corporation Wechsler, D (1987) Manual for the Wechsler Memory ScaleRevised (WMS-R) San Antonio, TX: The Psychological Corporation Wechsler, D (1989) Manual for the Wechsler Preschool and Primary Scale of Intelligence-Revised (WPPSI-R) San Antonio, TX: The Psychological Corporation Wechsler, D (1991) Manual for the Wechsler Intelligence Scale for Children-Third Edition (WISC-III) San Antonio, TX: The Psychological Corporation Wechsler, D (1997) Manual for the Wechsler Adult Intelligence Scale-Third Edition (WAIS-III) San Antonio, TX: The Psychological Corporation Weinberg, J, Diller, L, Gerstman, L, & Schulman, P (1972) Digit span in right and left hemiplegics Journal of Clinical Psychology, 28, 361 Weinberg, R A (1989) Intelligence and IQ: Landmark issues and great debates American Psychologist, 43, 98 104 Weller, C.

and V(X )

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, the random variable (4-10)

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, & Strawser, S (1987) Adaptive behavior of subtypes of learning disabled individuals Journal of Special Education, 21, 101 116 Welsh, K, Butters, N, Hughes, J, Mohs, R, & Heyman, A (1991) Detection of abnormal memory decline in mild cases of Alzheimer s disease using CERAD neuropsychological measures Archives of Neurology, 48, 278 281 Welsh, K, Butters, N, Hughes, J, Mohs, R, & Heyman, A (1992) Detection and staging of dementia in Alzheimer s dis-.

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The figure above shows the class diagram for this pattern. This is a specific implementation of REFERENCE MONITOR (256). The modification shows how the system associates the rules to the secure object in question.

Information Wechsler (1958) included a subtest designed to tap a subject s range of general information, despite the obvious objection that the amount of knowledge which a person possesses depends in no small degree upon his [or her] education and

Creating a new random variable by this transformation is referred to as standardizing. The random variable Z represents the distance of X from its mean in terms of standard deviations. It is the key step to calculate a probability for an arbitrary normal random variable. EXAMPLE 4-13 Suppose the current measurements in a strip of wire are assumed to follow a normal distribution with a mean of 10 milliamperes and a variance of 4 (milliamperes)2. What is the probability that a measurement will exceed 13 milliamperes Let X denote the current in milliamperes. The requested probability can be represented as P(X 13). Let Z (X 10) 2. The relationship between the several values of X and the transformed values of Z are shown in Fig. 4-15. We note that X 13 corresponds to Z 1.5. Therefore, from Appendix Table II, P1X 132 P1Z 1.52 1 P1Z 1.52 1 0.93319 0.06681 13. That is,

Rather than using Fig. 4-15, the probability can be found from the inequality X P1X 132 Pa 1X 102 2 113 102 2 b P1Z 1.52

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