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The public and private attributes are used to modify methods and properties of classes. Private variables and methods typically allow a class to do internal work necessary to carry out the public requests made of it. Public variables and methods de ne what the class does. When you re designing a class, you should think carefully about what your class should be able to do and make those responsibilities public methods. For example, a toaster class should be able to take in some bread and change the bread into toast.

(3-14)

Here p is interpreted as the proportion of successes in the set of N objects. EXAMPLE 3-28 In the previous example, the sample size is 4. The random variable X is the number of parts in the sample from the local supplier. Then, p 100 300 1 3. Therefore, E1X 2 41100 3002 1.33

package com.actionscriptbible.ch4 { public class HeatedResistorToaster extends Toaster { public function HeatedResistorToaster() { // initialize the toaster } public function toast(pieceOfBread:Bread):Bread { //do whatever we need to toast the bread return pieceOfBread; } } }

For a hypergeometric random variable, E1X 2 is similar to the mean a binomial random variable. Also, V1X 2 differs from the result for a binomial random variable only by the term shown below.

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The toast() method should be public because this is the core responsibility of a HeatedResistorToaster. Other code in your program should be able to use a toaster to toast bread. But you still need to add in the steps necessary that are going to toast that bread. The private variables and methods constitute the internal mechanics of the toaster that users of the toaster should not have to deal with.

Sampling with replacement is equivalent to sampling from an infinite set because the proportion of success remains constant for every trial in the experiment. As mentioned previously, if sampling were done with replacement, X would be a binomial random variable and its variance would be np(1 p). Consequently, the finite population correction represents the correction to the binomial variance that results because the sampling is without replacement from the finite set of size N. If n is small relative to N, the correction is small and the hypergeometric distribution is similar to the binomial. In this case, a binomial distribution can effectively approximate the distribution of the number of units of a specified type in the sample. A case is illustrated in Fig. 3-13. EXAMPLE 3-29 A listing of customer accounts at a large corporation contains 1000 customers. Of these, 700 have purchased at least one of the corporation s products in the last three months. To evaluate a new product design, 50 customers are sampled at random from the corporate listing. What is

The primary focus of this dissertation is on the programming of large-scale networked sensor systems The purpose of the typical sensor network deployment is to gather and process data from the environment for a single end-to-end objective The program that executes on each node is part of a larger distributed application that delivers the results of an implicit or explicit domain specific query Each node is required to be aware of its role in accomplishing the overall objective; that is, it is required to implement a predefined protocol for information exchange within the network Consider a sensor network deployed for object tracking The desired result of the implicit and perennial domain specific query in this case is the current location of target(s) (if any) in the network A node-centric approach to programming the network requires each node to be programmed with the following behavior.

package com.actionscriptbible.ch4 { public class HeatedResistorToaster extends Toaster { private var remainingToastSec:Number; private var insertedBread:Bread; private var resistor:Resistor; public function HeatedResistorToaster() { resistor = new Resistor(); remainingToastSec = 0; } public function toast(pieceOfBread:Bread):Bread { insertedBread = pieceOfBread; startTimer(10); startCurrent(0.5);

0.2 (x) 0.1

while (remainingToastSec > 0) { tick(); remainingToastSec--; } stopTimer(); stopCurrent(); insertedBread = null; return pieceOfBread; } private function startTimer(toastDuration:Number):void remainingToastSec = toastDuration; } {

1 0.149 0.156

2 0.326 0.321

private function startCurrent(currentAmps:Number):void { resistor.current = currentAmps; } private function tick():void { resistor.tick(); insertedBread.toastiness += resistor.heat * 0.55667; } private function stopTimer():void { trace("The toaster sounds off a DING!"); } private function stopCurrent():void { resistor.current = 0; } } }

3 0.326 0.312

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