DATABASE SYSTEM CONCEPTS (LOOSELEAF)
DATABASE SYSTEM CONCEPTS (LOOSELEAF)
7th Edition
ISBN: 9781260515046
Author: SILBERSCHATZ
Publisher: MCG
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Chapter 6, Problem 11PE

Explanation of Solution

a.

Justification:

  • Normally, the primary key, foreign key and not null constraints are used to enforce total participation constraints on a many-to-many relationship on the relations created from the relationship.
  • However, in Structured Query Language (SQL) total participation constraints on a many-to-many relationship can’t be enforced on the relations created from the relationship because, they have to be embodied as separate relation that will not be combined with either of the participating entities...

Explanation of Solution

b.

Enforcing total participation constraints using complex check constraints or assertions:

  • For a many-to-one relation R from entity “A” to “B” with their respective primary keys as “a” and “b”, the below constraints can be applied on relation “B”...

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Can you help me solve this problem using Master's Theorem:Solve the recurrence relation f(n) = 3af(n/a) + (n + a)2 with f(1) = 1 and a > 1 byfinding an expression for f(n) in big-Oh notation.
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
using r language
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