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In Section 13-3 we introduced the concept of a random factor. This is, of course, a situation in which the factor of interest has a large number of possible levels and the experimenter chooses a subset of these levels at random from this population. Conclusions are then drawn about the population of factor levels. Random factors can occur in factorial experiments. If all the factors are random, the analysis of variance model is called a random-effects model. If some factors are xed and other factors are random, the analysis of variance model is called a mixed model. The statistical analysis of random and mixed models is very similar to that of the standard xed-effects models that are the primary focus of this chapter. The primary differences are in the types of hypotheses that are tested, the construction of test statistics for these hypotheses, and the estimation of model parameters. Some additional details on these topics are presented in Section 14-6 on the CD. For a more in-depth presentation, refer to Montgomery (2001) and Neter, Wasserman, Nachtsheim, and Kutner (1996).

The software that runs on each node of an ATaG-programmed system consists of (i) user-supplied code for each abstract task and abstract data item, (ii) components of the runtime system that are independent of the particular ATaG program being synthesized, and (iii) components of the runtime system that need to be customized for the particular ATaG program being synthesized Examples of the standard DART components are the Datapool, the Dispatcher, the NetworkArchitecture, and the Networkstack The AtagManager has to be customized for the application because the information it maintains includes the task and channel annotations, and handles to the user level code If dynamic memory allocation is not supported on the target platform, the data structures of Datapool need to be customized for the abstract data items that will be generated and consumed on that node-the Datapool needs to be customized accordingly.

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Finish any kind of ll with the simple method:

EXERCISES FOR SECTION 2-7

Just because you should close your paths when using lls doesn t mean you have to. Flash Player lls the path you de ne as if you had connected the rst and the last point on it.

2-94 Suppose that P1A B2 07, P1A2 05, and P1B2 02 Determine P1B A2 2-95 Software to detect fraud in consumer phone cards tracks the number of metropolitan areas where calls originate each day It is found that 1% of the legitimate users originate calls from two or more metropolitan areas in a single day However, 30% of fraudulent users originate calls from two or more metropolitan areas in a single day The proportion of fraudulent users is 001% If the same user originates calls from two or more metropolitan areas in a single day, what is the probability that the user is fraudulent 2-96 Semiconductor lasers used in optical storage products require higher power levels for write operations than for read operations High-power-level operations lower the useful life of the laser.

Lasers in products used for backup of higher speed magnetic disks primarily write, and the probability that the useful life exceeds ve years is 095 Lasers that are in products that are used for main storage spend approximately an equal amount of time reading and writing, and the probability that the useful life exceeds ve years is 0995 Now, 25% of the products from a manufacturer are used for backup and 75% of the products are used for main storage Let A denote the event that a laser s useful life exceeds ve years, and let B denote the event that a laser is in a product that is used for backup.

Have some fun with another example. Recall that you can de ne a circle parametrically as x(t) = cos(t) y(t) = sin(t) This means that you can draw a circle by drawing a point for every value of t in its range of 0 to 2 . If you start a ll, draw points for a bunch of values of t, and end the ll, you should be able to draw a circle. But circles are boring! Who cares! You ll see how to make a circle in one line later. For now, you ll learn how to tweak things by bubbling the edge of the circle up. You do this by modifying each x and y value by adding in another term that describes a more rapidly rotating circle. Imagine the Earth circling the sun and tracing a circle ( ne, ellipse, if you have to be like that). Now imagine the moon circling the Earth more rapidly. Try to trace out in your mind what the path of the moon relative to the sun looks like. That s what you ll do in Example 35-7. EXAMPLE 35-7

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