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8. Understand the blocking principle and how it is used to isolate the effect of nuisance factors 9. Design and conduct experiments involving the randomized complete block design CD MATERIAL 10. Use operating characteristic curves to make sample size decisions in single-factor random effects experiment 11. Use Tukey s test, orthogonal contrasts and graphical methods to identify speci c differences between means. Answers for most odd numbered exercises are at the end of the book. Answers to exercises whose numbers are surrounded by a box can be accessed in the e-Text by clicking on the box. Complete worked solutions to certain exercises are also available in the e-Text. These are indicated in the Answers to Selected Exercises section by a box around the exercise number. Exercises are also available for some of the text sections that appear on CD only. These exercises may be found within the e-Text immediately following the section they accompany.

This is the root pattern for all enterprise security concerns. It helps resolve the issue of whether security is really needed and, if it is, what properties of security should be applied for a particular enterprise. Security properties considered include confidentiality, integrity, availability, and accountability.

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Data from a 5-year longitudinal study that compared the intelligence and memory of 69 eminent academics (aged 70 and older) with 30 elderly blue-collar workers led the researchers to reach two sobering conclusions: (1) slower rates of decline are not associated with high ability, and (2) cognitive deterioration on nonverbal IQ tests is universal (Christensen, Henderson, Griffiths,

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Experiments are a natural part of the engineering and scienti c decision-making process Suppose, for example, that a civil engineer is investigating the effects of different curing methods on the mean compressive strength of concrete The experiment would consist of making up several test specimens of concrete using each of the proposed curing methods and then testing the compressive strength of each specimen The data from this experiment could be used to determine which curing method should be used to provide maximum mean compressive strength If there are only two curing methods of interest, this experiment could be designed and analyzed using the statistical hypothesis methods for two samples introduced in 10 That is, the experimenter has a single factor of interest curing methods and there are only two levels of the factor.

188 PART II INDIVIDUAL DIFFERENCES ON AGE, SOCIOECONOMIC STATUS, AND OTHER KEY VARIABLES ones measured by the PMA Space and Reasoning subtests (Baltes & Willis, 1982; Schaie, 1996; Schaie & Willis, 1986), and they can be trained to improve their episodic memory (Kliegl, Smith, & Baltes, 1990; Verhaeghen, 1993) Reviews of the bulk of literature in this area show that even minor interventions can lead to significant performance gains (Labouvie-Vief, 1985) The results are interesting, and do, indeed, suggest the need for an educational psychology of the older adult learner (Willis, 1985) Whether the ability to reverse a decline casts grave doubts on the irreversible decrement models that assume normative patterns of intellectual decline (Schaie & Willis, 1986, p 224) is another matter We don t believe that norms make any such assumption of irreversibility They describe what is, not what might be under different circumstances.

Asset valuation helps you to determine the overall importance an enterprise places on the assets it owns and controls. Loss or compromise of such assets may result in anything from hard costs, such as fines and fees, to soft costs due to loss of market share and consumer confidence.

If the experimenter is interested in determining which curing method produces the maximum compressive strength, the number of specimens to test can be determined from the operating characteristic curves in Appendix Chart VI, and the t-test can be used to decide if the two means differ Many single-factor experiments require that more than two levels of the factor be considered For example, the civil engineer may want to investigate ve different curing methods In this chapter we show how the analysis of variance (frequently abbreviated ANOVA) can be used for comparing means when there are more than two levels of a single factor We will also discuss randomization of the experimental runs and the important role this concept plays in the overall experimentation strategy In the next chapter, we will show how to design and analyze experiments with several factors.

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