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This naming convention should be familiar to Flex users. I ll call nodes that correspond to objects object nodes, and nodes that correspond to properties property nodes. This structure should help you understand how motion XML is converted into objects in the fl.motion package, but you don t have to understand it to create and use motion XML. In fact, you can simply use the Flash authoring environment to generate motion XML for you. The package adapts to many styles of use. The basic structure of motion XML is as follows. Namespaces and attributes are omitted for clarity, and all optional nodes are shown.

16-61. Suppose a process is in control, and 3-sigma control limits are in use on the X chart. Let the mean shift by 1.5 . What is the probability that this shift will remain undetected for three consecutive samples What would its probability be if 2-sigma control limits were used The sample size is 4. 16-62. Consider an X control chart with k-sigma control limits. Develop a general expression for the probability that a point will plot outside the control limits when the process mean has shifted by units from the center line. 16-63. Suppose that an X chart is used to control a normally distributed process and that samples of size n are taken every n hours and plotted on the chart, which has k-sigma limits. (a) Find a general expression for the expected number of samples and time that will be taken until a false action signal is generated. (b) Suppose that the process mean shifts to an out-ofcontrol state, say 1 . Find an expres0 sion for the expected number of samples that will be taken until a false action is generated.

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<Motion> <source> <Source> <dimensions> <Rectangle/> </dimensions> <transformationPoint> <Point/> </transformationPoint> </Source> </source> <Keyframe> <color> <Color/> </color> <tweens> <ITween/> </tweens> <filters> <BitmapFilter/> </filters> </Keyframe> </Motion>

(c) Evaluate the in-control ARL for k 3 How, does this change if k 2 What do you think about the use of 2-sigma limits in practice (d) Evaluate the out-of-control ARL for a shift of 1 sigma, given that n 5 16-64 Suppose a P chart with center line at p with ksigma control limits is used to control a process There is a critical fraction defective pc that must be detected with probability 050 on the rst sample following the shift to this state Derive a general formula for the sample size that should be used on this chart 16-65 Suppose that a P chart with center line at p and k-sigma control limits is used to control a process What is the smallest sample size that can be used on this control chart to ensure that the lower control limit is positive 16-66.

Before I go into the details of each node, here s an overview. All motion XML is contained inside a root Motion node. The Motion node optionally contains a source property node containing a Source object node. Following the source property node is the bulk of the motion XML, a series of any number of Keyframe object nodes. Each Keyframe can set any combination of transformation properties, color transformations, and lters. The color transformations are encoded in the color property node and the Color object node, and the lter settings for a given keyframe are encoded as object nodes inside a filters property node. The node name of a lter object node is equivalent to the name of the lter class. A Keyframe also de nes the easing applied to the keyframe by including tween object nodes in a tweens parameter node. All tweens implement ITween. You can theoretically include more than one tween object node to tween different properties separately (a situation you can t replicate using timeline tweens).

A process is controlled by a P chart using samples of size 100 The center line on the chart is 005 What is the probability that the control chart detects a shift to 008 on the rst sample following the shift What is the probability that the shift is detected by at least the third sample following the shift 16-67 Consider a process where speci cations on a quality characteristic are 100 15 We know that the standard deviation of this normally distributed quality characteristic is 5 Where should we center the process to minimize the fraction defective produced Now suppose the mean shifts to 105 and we are using a sample size of 4 on an X chart.

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