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The number of samples, f, should be large enough so that we can have con dence that the sample set used is representative of the events occurring within the system Any of the statistics texts referenced can be consulted for tests which provide measures of con dence A chi-square test will be used in an example in Sec 6-1-5 6-1-3 Uniform Distribution If a distribution looks at or uniform over a range of values, many estimation tasks are simpli ed A uniform distribution of events has often been assumed in examples in the earlier chapters, since the uniform distribution often gives a relatively poor, and therefore conservative result A uniform distribution of addresses of seek requests to a disk will cause a higher average seek time than all but a bimodal distribution The probability that a next record is not available in the current block is greater for a uniform distribution of requests than for any other The average cost, however, of following over ow chains is lower when update insertions were distributed uniformly and greater for nonuniform update distributions Parameters of the uniform distribution /* 6-2 */

If you find when looking at your Complexity Matrix that there are consistently high or consistently low values in any particular column, that means you have a process opportunity ( = high PCE values) or problem ( = low PCE values)

TIP! DVD Studio Pro will AUTOMATICALLY put these into a finished disc if you use the BUILD and FORMAT command If you just BUILD, it won t

Table 6-2

LOAD the ROM material into the DVDROM Data folder This folder will disappear during the build, and its CONTENTS will be moved to the root level directory of your finished DVD BUILD the DVD volume onto your Hard Drive as usual, being sure to specify the Hybrid Build folder you created in step 2 as the target, or BUILD & FORMAT a DVD-R or a DLT Master tape using DVD Studio Pro s own output capabilities

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/* Parameters of the uniform distribution */ height = f/number of categories; range = MAX(x) - MIN(x);

Be aware that as of the writing of this documentation (October 2005), it has been reported that there are difficulties in using DVD@ccess on Windows-based machines running Win 95, 98, ME, and Win 2000 This is being looked into for a fix Reports indicate that DVD@ccess links do work in Windows XP Check the DVD Studio Pro support forums or late breaking news for further information on using DVD@ccess

A uniform distribution is described by its height, that is, the frequency of occurrence of categorized events, and by its range, which has to be nite for a nite number of events as shown in the program segment in Table 6-2 To visualize the uniformity of the distribution the size and value for each category icn = 1, , number of categories is computed in Table 6-3 CEIL and FLOOR functions are used to improve the presentation of the information in a histogram

If you find that you are really good at doing something, by all means consider ways to exploit that advantage Minimally, make sure that the systems used in the business units you re studying are copied to all other business units that use those systems You might also look for ways to build on that capability Though we can t say the following example arose because of a complexity analysis, it does illustrate this option: First Data, an $8 billion company that leads the market in processing credit card transactions, recently extended into the new market of healthcare data processing The reason: it recognized that its processes for managing and processing data were globally competitive and could be leveraged to great advantage in multiple contexts, not just banking First Data essentially provides back-office support for credit card issuers, for whom this type of processing would be highly inefficient First Data is another example of a concept that is critical to Conquering Complexity: That one company s value-destroying process is another company s value creator

Table 6-3

DVD Hybrid Pitfalls!

/* Create histogram categories for frequency distribution 6-3 */ size of category = CEIL(range/(number of categories-1)); base = FLOOR(MIN(x)); category low value = base + (icn-1)*size of category; If an investigation is made to determine the amount of cylinder over ow for a direct or indexed-sequential le, then f may be the number of records, and the number of categories may be the number of cylinders allocated to the le The expected mean and standard deviation of samples which present a perfectly uniform distribution are

IMPORTANT! Be careful of the following problem areas:

Table 6-4

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