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A runtime error is one that occurs during the execution of your SWF le while the program is running. These usually arise from a problem that occurs after your program begins, such as a reference to an object that has been removed. Runtime errors can cause unpredictable results in your program. Some may cause the program to crash; others may go unnoticed. Either way, it s important to address any errors you have in your program.

P1 3 Z 32 P1Z 32 P1Z 32 0.99865 0.00135 0.9973 By recentering the process, the yield is increased to approximately 99.73%.

41 42 43 44 45

To see runtime errors from your web browser, you need to install the Debug version of the Flash Player. This is installed along with all Adobe-packaged development environments by default; it is always available at http://www.adobe.com/support/flashplayer/downloads.html.

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Sometimes the compiler issues a warning. Warnings concern problems that won t prevent your code from compiling but should be xed for the sake of clean, readable, consistent code. A common example is when you forget to add a data type to a variable or function return. It s a good idea to heed any warnings generated and x them as though they were errors.

Figure 4-18 Distribution for Example 4-16.

Flash Professional and Flash Builder differ slightly when identifying errors. This should get you started with whichever software you use.

0.2485 0.25

Mean and Variance of the Normal Distribution (CD Only) EXERCISES FOR SECTION 4-6

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Both Flash Professional and Flash Builder have Debugging modes that offer more advanced troubleshooting tools. These are covered in 25, Using the AVM2 Debugger and Pro ler.

4-39 Use Appendix Table II to determine the following probabilities for the standard normal random variable Z: (a) P(Z 132) (b) P(Z 30) (c) P(Z 145) (d) P(Z 215) (e) P( 234 Z 176) 4-40 Use Appendix Table II to determine the following probabilities for the standard normal random variable Z: (a) P( 1 Z 1) (b) P( 2 Z 2) (c) P( 3 Z 3) (d) P(Z 3) (e) P(0 Z 1) 4-41 Assume Z has a standard normal distribution Use Appendix Table II to determine the value for z that solves each of the following: (a) P( Z z) 09 (b) P(Z z) 05 (c) P( Z z) 01 (d) P(Z z) 09 (e) P( 124 Z z) 08 4-42 Assume Z has a standard normal distribution.

In Flash Professional, the output panel (for trace statements and runtime errors) is brought up automatically when you test your movie. If there are compile errors, a Compiler Errors panel also comes up.

Use Appendix Table II to determine the value for z that solves each of the following: (a) P( z Z z) 095 (b) P( z Z z) 099 (c) P( z Z z) 068 (d) P( z Z z) 09973 4-43 Assume X is normally distributed with a mean of 10 and a standard deviation of 2 Determine the following: (a) P(X 13) (b) P(X 9) (c) P(6 X 14) (d) P(2 X 4) (e) P( 2 X 8) 4-44 Assume X is normally distributed with a mean of 10 and a standard deviation of 2 Determine the value for x that solves each of the following: (a) P(X x) 05 (b) P(X x) 095 (c) P(x X 10) 02 (d) P( x X 10 x) 095 (e) P( x X 10 x) 099 4-45.

I ll use this code snippet to test the Compiler Errors panel. There s an obvious problem with this call to trace():

Assume X is normally distributed with a mean of 5 and a standard deviation of 4 Determine the following: (a) P(X 11) (b) P(X 0) (c) P(3 X 7) (d) P( 2 X 9) (e) P(2 X 8) 4-46 Assume X is normally distributed with a mean of 5 and a standard deviation of 4 Determine the value for x that solves each of the following: (a) P(X x) 05 (b) P(X x) 095 (c) P(x X 9) 02 (d) P(3 X x) 095 (e) P( x X x) 099 4-47 The compressive strength of samples of cement can be modeled by a normal distribution with a mean of 6000 kilograms per square centimeter and a standard deviation of 100 kilograms per square centimeter.

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