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Choosing the number of bins approximately equal to the square root of the number of observations often works well in practice A frequency distribution for the comprehensive strength data in Table 6-2 is shown in Table 6-4 Since the data set contains 80 observations, and since 180 9, we suspect that about eight to nine bins will provide a satisfactory frequency distribution The largest and smallest data values are 245 and 76, respectively, so the bins must cover a range of at least 245 76 169 units on the psi scale If we want the lower limit for the rst bin to begin slightly below the smallest data value and the upper limit for the last bin to be slightly above the largest data value, we might start the frequency distribution at 70 and end it at 250 This is an interval or range of 180 psi units.

Nine bins, each of width 20 psi, give a reasonable frequency distribution, so the frequency distribution in Table 6-4 is based on nine bins The second row of Table 6-4 contains a relative frequency distribution The relative frequencies are found by dividing the observed frequency in each bin by the total number of.

The copyChannel() method lets you copy a portion of a bitmap like copyPixels(), but selecting a single channel (red, green, blue, or alpha). In fact, you can even assign pixels from one channel to a different channel using this method. The parameters for copyChannel() are as follows:

Table 6-4

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sourceBitmapData The bitmap from which to copy a region. sourceRect The region of the source bitmap to copy, as a Rectangle. destPoint Where the copied pixels should appear in the destination bitmap, as a Point de ning the top-left corner. sourceChannel Which color channel to extract from the source bitmap; can be BitmapDataChannel.ALPHA, BitmapDataChannel.RED, BitmapDataChannel.GREEN, or BitmapDataChannel.BLUE. destChannel Which color channel to place the copied region into (using the same options

14-41. An article in Process Engineering (No. 71, 1992, pp. 46 47) presents a two-factor factorial experiment used to

as before). In Example 36-4, you ll draw a white circle on a black background, using the drawing API covered in 35. After capturing the composition as a bitmap, you split it into its three color components,

(a) Is there any evidence that atness distortion is different for the different gear types Is there any indication that heat treating time affects the atness distortion Do these factors interact Use 0.05. (b) Construct graphs of the factor effects that aid in drawing conclusions from this experiment. (c) Analyze the residuals from this experiment. Comment on the validity of the underlying assumptions. 14-43. An article in the Textile Research Institute Journal (Vol. 54, 1984, pp. 171 179) reported the results of an experiment that studied the effects of treating fabric with selected inorganic salts on the ammability of the material. Two application levels of each salt were used, and a vertical burn test was used on each sample. (This nds the temperature at which each sample ignites.) The burn test data follow. Salt

spreading them out based on the position of the mouse, and clearly showing additive color at work. (The intersection of all three will be white.) You ll see that the ADD blend mode is not used; the three channels are set individually, and the color channels always mix together additively. EXAMPLE 36-4

14-10 RESPONSE SURFACE METHODS AND DESIGNS (CD)

If the network stack of each node waits until it can contact all other nodes before returning control to the main startup routine, it ensures that if internode communication is required as part of the startup process of other modules, the messages can be sent successfully to an active receiver 4443 Network architecture The startup routine for the NetworkArchitecture module reads the entire network topology information from a file that is provided as a command line parameter to the DART process This information includes the number of nodes in the network, the X andY range of the virtual 2D topology the nodes are situated in, the radio range and sensing range for each node, and, finally, the X and Y coordinates of each node We assume that radio range and sensing range are the same for all nodes.

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