EBK DATABASE SYSTEM CONCEPTS
EBK DATABASE SYSTEM CONCEPTS
7th Edition
ISBN: 9781260049268
Author: SILBERSCHATZ
Publisher: MCG COURSE
Expert Solution & Answer
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Chapter 7, Problem 25E

Explanation of Solution

To show the Armstrong’s reflexivity axiom is found:

  • A functional dependency AB which holds true only when for all pairs of records t1 and t2 in a relation r(R) such that t1[A]=t2[A] then t1[B]=t2[B] also holds true.
  • The Armstrong’s reflexivity axiom defines that if “A” is a set of attributes and “B” is a subset of “A”, then AB.
  • Assume ꓱt1,t2 such that t1[A]=t2[A] to prove the soundness of the axiom.
  • If “B” is a subset of “A”, then t1[B]=t2[B].
  • From the functional dependency definitions with t1[A]=t2[A] and t1[B]=t2[B], the user have AB.

To prove the Armstrong’s augmentation axiom is found:

  • This axiom defines that If “C” is a set of attributes and AB, the CACB also holds.
  • Assume ꓱt1,t2 such that t1[CA]=t2[CA] to prove the soundness of the augmentation  axiom.
  • If “C” is a subset of “CA”, then t1[C]=t2[C].
  • Similarly if “A” is a subset of “AC”, then t1[A]=t2[A].
  • Now, the user can have t1[B]=t2[B] from the definition of AB

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here is example 7.6## Example 7.6 Suppose the sample population is χ 2 (2), which is non-normal but with same variance 4. ▶ Repeat the simulation, but replacing the N(0, 4) samples with χ 2 (2) samples. ▶ Calculate the empirical confidence level.(Empirical confidence level) n <- 20 alpha <- 0.05 UCL <- replicate(1000, expr = { x <- rchisq(n,df=2) (n-1)*var(x)/qchisq(alpha,df=n-1) }) sum(UCL >4) mean(UCL > 4) ## t.test function n <- 20 x <- rnorm(n,mean=2) result <- t.test(x,mu=1) result$statistic result$parameter result$p.value result$conf.int result$estimate
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