Building Java Programs: A Back To Basics Approach, Loose Leaf Edition (5th Edition)
Building Java Programs: A Back To Basics Approach, Loose Leaf Edition (5th Edition)
5th Edition
ISBN: 9780135472118
Author: Stuart Reges, Marty Stepp
Publisher: PEARSON
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Chapter 5, Problem 12E

Explanation of Solution

Program:

//import the header file

import java.util.*;

//definition of "Main" class

class Main

{

    //definition of main method

    public static void main(String[] args)

    {

        //call the method

        printAverage();

    }

    //definition of "printAverage" method

    public static void printAverage()

    {

        //create an object for "Scanner" class

        Scanner console = new Scanner(System.in);

        //get the input from the user

        System.out.print("Type a number: ");

        int input = console.nextInt();

        // declare the variables with the values

        double sum = 0.0;

        int count = 0;

/*check the "input" is greater than or equal to 0*/

        while (input >= 0)

        {

            //increment the value

            count++;

            //calculate the sum

            sum = sum + input;

            //get the input

            System...

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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
using r language
using r language

Chapter 5 Solutions

Building Java Programs: A Back To Basics Approach, Loose Leaf Edition (5th Edition)

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