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The root node of any motion XML, the <Motion> node sets up the XML s namespaces, associating each namespace with a package so that child nodes scoped to a namespace can be mapped to valid classes within the package. Additionally, the Motion object de nes the duration of the animation in frames.

What is the probability that such a shift will be detected on the rst sample following the shift What is the average number of samples until an out-of-control point occurs Compare this result to the average number of observations until a defective occurs (assuming normality) 16-68 The NP Control Chart An alternative to the control chart for fraction defective is a control chart based on the number of defectives, or the NP control chart The chart has centerline at n p, and the control limits are UCL LCL np np 3 2np11 3 2np11 p2 p2 (b) Apply this control chart to the data in Example 16-4 (c) Will this chart always provide results that are equivalent to the usual P chart 16-69 The EWMA Control Chart The exponentially weighted moving average (or EWMA) is de ned as follows:.

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where 0 1, and the starting value of the EWMA at time t 0 is Z0 0 (the process target). An EWMA control chart is constructed by plotting the Zt values on a chart with center line at 0 and appropriate control limits. (a) Verify that E1Zt 2 0 (b) Let 2t be V1Zt 2 , and show that z

<Motion duration="14" xmlns="fl.motion.*" xmlns:geom="flash.geom.*" xmlns:filters="flash.filters.*"></Motion>

b 31

This sample node de nes an animation that will last 14 frames. It also scopes itself and all child nodes with no explicit namespace to the "fl.motion.*" namespace. This helps the animation framework know that when you write a <Keyframe> node, it describes an instance of the class Keyframe

2 2t 4

in the fl.motion package. For more information about XML namespaces, see 11, XML and E4X. Running motion XML you create is covered in the section Using the Flash motion package. To follow along with the examples, create an object to animate, and use a new Animator object to execute the motion XML you create. Remember that thanks to E4X, you can type XML directly into your code:

t variables int myReading = 0; boolean vasOnFire = false, isOnFire = false; int [I targetReadings ; int [I neighborIDs; int [I [I neighborcoords ;

(c) Use the results of part (b) to determine the control limits for the EWMA chart. (d) As S 1, the EWMA control chart should perform like a standard Shewhart X chart. Do you agree with this statement Why (e) As S 0, the EWMA control chart should perform like a CUSUM. Provide an argument as to why this is so. (f) Apply this procedure to the data in Example 16-2. 16-70. Standardized Control Chart. Consider the P chart with the usual 3-sigma control limits. Suppose that we de ne a new variable: Pi P

var ball:Sprite = new Sprite(); ball.graphics.beginFill(0xff0000); ball.graphics.drawCircle(0, 0, 20); ball.graphics.endFill(); addChild(ball); var motionXML:XML = <Motion duration="14" xmlns="fl.motion.*" xmlns:geom="flash.geom.*" xmlns:filters="flash.filters.*"></Motion>; var animator:Animator = new Animator(motionXML, ball); animator.play();

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and the number of defectives for each sample is plotted on the chart. (a) Verify that the control limits given above are correct. Sample, i ni pi 1 20 0.2 2 25 0.16 3 20 0.25 4 25 0.08

This particular example doesn t do anything but set up the motion XML, so it won t animate the ball. But you can apply this example snippet to the following motion XML examples to see them in action.

as the quantity to plot on a control chart. It is proposed that this new chart will have a center line at 0 with the upper and lower control limits at 3. Verify that this standardized control chart will be equivalent to the original p chart. 16-71. Unequal Sample Sizes. One application of the standardized control chart introduced in Exercise 16-70 is to allow unequal sample sizes on the control chart. Provide details concerning how this procedure would be implemented and illustrate using the following data: 5 50 0.3 6 30 0.1 7 25 0.12 8 25 0.16 9 25 0.12 10 20 0.15

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