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The simulation takes place on a single machine and all processes are assigned socket IDS the localhost A class Constants (Figure 4 11) contains on basic information such as the base port number that is used by nodes to determine the suitable destination socket number for other nodes in the network 4442 Network interface After the configuration information is read from file, the Networkstack is initialized The network stack determines its own port number by adding its node ID to the base port from the Constants class and starts a receiver thread to listen to messages on that port Next, the network stack pings the port numbers for all other nodes in the network and waits until it can successfully communicate with all nodes This is because each DART instance is launched independently and different receiver threads come online at different (and unpredictable)times.

(b) Compute the sample mean, sample standard deviation, and the sample median. (c) A wine rated above 90 is considered truly exceptional. What proportion of the taste-tasters considered this particular pinot noir truly exceptional 6-28. In their book Introduction to Linear Regression Analysis (3rd edition, Wiley, 2001) Montgomery, Peck, and Vining present measurements on NbOCl3 concentration from a tube- ow reactor experiment. The data, in gram mole per liter 10 3, are as follows: 450 450 473 507 457 452 453 1215 1256 1145 1085 1066 1111 1364 1254 1396 1575 1617 1733 2753 3186 3227 3469 1911 2588 2635 2725 (a) Construct a stem-and-leaf diagram for this data and comment on any important features that you notice.

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package { import flash.display.*; import flash.events.Event; import flash.geom.*; import flash.net.URLRequest; import flash.system.LoaderContext; [SWF(frameRate="10")] public class ch36ex3 extends Sprite { protected const SIZE:Rectangle = new Rectangle(0, 0, 48, 48); protected var TOTALFRAMES:int; protected var bmp:BitmapData; protected var filmstrip:BitmapData; protected var frame:int = 0; protected var sourceRect:Rectangle = SIZE.clone(); public function ch36ex3() { var loader:Loader = new Loader(); //Animation by Derek Yu - www.derekyu.com - used with permission

(b) Compute the sample mean, sample standard deviation, and the sample median. 6-29. A Comparative Stem-and-Leaf Diagram. In Exercise 6-22, we presented height data that was self-reported by female undergraduate engineering students in a core course at ASU. In the same class, the male students self-reported their heights as follows: 69 67 69 70 65 68 69 70 71 69 66 67 69 75 68 67 68 69 70 71 72 68 69 69 70 71 68 72 69 69 68 69 73 70 73 68 69 71 67 68 65 68 68 69 70 74 71 69 70 69 (a) Construct a comparative stem-and-leaf diagram by listing the stems in the center of the display and then placing the female leaves on the left and the male leaves on the right. (b) Comment on any important features that you notice in this display.

loader.load( new URLRequest("http://actionscriptbible.com/files/monkey.png"), new LoaderContext(true)); loader.contentLoaderInfo.addEventListener(Event.COMPLETE, onLoad); bmp = new BitmapData(SIZE.width, SIZE.height); var bitmap:Bitmap = new Bitmap(bmp, PixelSnapping.ALWAYS, false); bitmap.scaleX = bitmap.scaleY = 4; addChild(bitmap); } protected function onLoad(event:Event):void { filmstrip = Bitmap(LoaderInfo(event.target).content).bitmapData; TOTALFRAMES = filmstrip.width / SIZE.width; addEventListener(Event.ENTER_FRAME, onEnterFrame); } protected function onEnterFrame(event:Event):void { frame = ++frame % TOTALFRAMES; sourceRect.x = frame * SIZE.width; bmp.fillRect(bmp.rect, 0); bmp.copyPixels(filmstrip, sourceRect, new Point(0,0)); } } }

A frequency distribution is a more compact summary of data than a stem-and-leaf diagram To construct a frequency distribution, we must divide the range of the data into intervals, which are usually called class intervals, cells, or bins If possible, the bins should be of equal width in order to enhance the visual information in the frequency distribution Some judgment must be used in selecting the number of bins so that a reasonable display can be developed The number of bins depends on the number of observations and the amount of scatter or dispersion in the data A frequency distribution that uses either too few or too many bins will not be informative We usually nd that between 5 and 20 bins is satisfactory in most cases and that the number of bins should increase with n.

Here, you see that scaling up the bitmap while drawing isn t the only way to increase the size of the content. You can, instead, simply scale up the Bitmap that your bitmap data is displaying in using DisplayObject methods, setting the smoothing option on the Bitmap instead. You ll notice that instead of translating and then drawing pixels, copyPixels() just lets you specify where the pixels come from and where they go. This makes the example much simpler, but you also have fewer options than with draw(), and of course it can only be used to copy regions of a bitmap from another BitmapData, not from any DisplayObject like draw().

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