MyProgrammingLab with Pearson eText -- Access Code Card -- for Building Java Programs
MyProgrammingLab with Pearson eText -- Access Code Card -- for Building Java Programs
5th Edition
ISBN: 9780135472460
Author: REGES, Stuart, Stepp, Marty
Publisher: PEARSON
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Chapter 5.1, Problem 5SCP

Explanation of Solution

Range of value for “a” variable:

Given statement:

//create an object for "Random" class

Random rand= new Random() ;

/*declare the variable and generate the random number*/

int a = rand.nextInt(100);

Explanation:

  • Create an object “rand” for the “Random” class.
  • Declare the integer variable “a” and generate the random number between 0 through 99 inclusive.

Therefore, the variable “a” has 0 through 99 inclusive.

Range of value for “b” variable:

Given statement:

//create an object for "Random" class

Random rand= new Random() ;

/*declare the variable and generate the random number*/

int b = rand.nextInt(20) + 50;

Explanation:

  • Create an object “rand” for the “Random” class.
  • Declare the integer variable “b” and generate the random number between 50 through 69 inclusive.

Therefore, the variable “b” has 50 through 69 inclusive.

Range of value for “c” variable:

Given statement:

//create an object for "Random" class

Random rand= new Random() ;

/*declare the variable and generate the random number*/

int c = rand.nextInt(20 + 50);

Explanation:

  • Create an object “rand” for the “Random” class...

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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

Chapter 5 Solutions

MyProgrammingLab with Pearson eText -- Access Code Card -- for Building Java Programs

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Java random numbers; Author: Bro code;https://www.youtube.com/watch?v=VMZLPl16P5c;License: Standard YouTube License, CC-BY