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8 Section 6-1-6 stresses understanding of the model when applying transformations What was the model used for the billing data Does it make sense Using this model, what is the expectation of outstanding bills if the hospital doubles size and billings What can cause failure of the model 9

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10 Read a scheduling algorithm other than FIFO used for processor scheduling and apply it to a le system Compare the e ectiveness and the validity of the analysis in the le environment 11 During lunch hour a large number of orders for stock purchases are placed at a brokerage, creating a queue within the processor which updates the order le Estimate the earliest time when the entire order le can be tabulated 12 Write a program to simulate the queue management ow of Fig 6-10 Include two selection algorithms and compare the processing of identical workloads Explain the di erences in behavior

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Listing 4-18 obviously shows an overall result of TRUE. This implies that the Oracle DBMS evaluates the AND operator first, and then the OR operator: 1=1 OR 1=0 AND 0=1 <=> TRUE OR FALSE AND FALSE <=> TRUE OR FALSE <=> TRUE With compound conditions, it is always better to use parentheses to indicate the order in which you want the operations to be performed, rather than relying on implicit language precedence rules. Listing 4-19 shows two variants of the query from Listing 4-18, using parentheses in the WHERE clause. Listing 4-19. Using Parentheses to Force Operator Precedence SQL> select 'is true ' as condition 2 from dual 3 where (1=1 or 1=0) and 0=1; no rows selected SQL> select 'is true ' as condition 2 from dual 3 where 1=1 or (1=0 and 0=1); CONDITION --------is true SQL>

Describe how a random-number-generating routine generates a uniform distribution Describe how a normal random-distribution routine generates values which are normally distributed, using a uniform-distribution-generating routine The listings of the programs used can be found in the documentation of your computer service

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13 14 Using the Poisson distribution of Example 6-5 as an example, compute the mean and the mode, and use Eq 6-1 to estimate the median from the mean and the mode Apply these to some moderately skewed distributions 15 Recalculate the expected update cost for an indexed le (Chap 3-4-3), given that one attribute only is updated, and that it has been determined that data changes are distributed normally around the current data value, with a relatively small standard deviation, say 100 for n = 10 000

allow an attractive SQL command layout (for example, with suggestive indentations) to confuse you. Tabs, spaces, and new lines may increase statement readability, but they don t change the meaning of your SQL statements in any way.

We now will apply some distributions to the les of your application and their use Consider the length of the records Let the records be of variable length and assume the standard deviation of the length to be of at least 30% of the average record length R If you use variable-length and unspanned blocking: a How many records t into a block if consider only the average record length b How many records t into a block if consider only the record length to be normally distributed, and you want to exceed the block less than 1% of the time (t = 232) c How many records t into a block, again with less than 1% over ow, if you cannot predict the distribution, so that you have to use the Chebyshe assumption Write a simulation where variable length records are placed into blocks, up to the estimated Bfr Use the same parameters assigned for Exercise 16

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