Big Java, Binder Ready Version: Early Objects
Big Java, Binder Ready Version: Early Objects
6th Edition
ISBN: 9781119056447
Author: Cay S. Horstmann
Publisher: WILEY
Question
Book Icon
Chapter 11, Problem 9PP
Program Plan Intro

Sales

Program plan:

Filename: “Sale.java”

  • Include the required header files in the program
  • Define the “Sale” class
    • Declare the private variables
    • Define the parameterized constructor
      • Set the value
    • Define the “getName” method
      • Return the name
    • Define the “getServiceCategory” method
      • Return the service
    • Define the “getAmount” method
      • Return the amount
    • Define the “getDate” method
      • Return the date

Filename: “SalesTally.java”

  • Include the required header files in the program
  • Define the “SalesTally” class
    • Define the “getFileName” method
      • Declare the variable
      • Get the filename from the user
      • Iterate the loop until the loop ends the last line in the file
        • Get the values
      • Return the value
    • Define the “readSaleEntry” method
      • Declare the variable and get the values
      • Separate the values using “;”
      • Declare the variables and get the values
      • Call the “Sale” class with the parameters and return the values
    • Define the “readSalesFile” method
      • Create an object for “ArrayList”
      • Check filename is not equal to null
      • In the “try” block, create an object for “Scanner” class
        • Iterate the loop until the loop ends the last line in the file
          • Add the values by calling the “readSaleEntry” method
      • Return the sales.
    • Define the “gatherCategories” method
      • Create an object for “ArrayList”
      • Iterate the values
        • Check the categories are not equal to 0
          • Add the values
      • Return the categories
    • Define the “computeCategoryTotal” method
      • Declare the variable
      • Iterate the values
        • Check the sales are not equal to 0
          • Calculate the total
      • Return the total
    • Define the “printCategoryTotals” method
      • Iterate the values
        • Call the “computeCategoryTotal” method and store it in a “total” variable.
        • Display the output.
    • Define the main method
      • Create an object for “Scanner” class
      • Call the “getFileName” method and set the value
      • In the “try” block,
        • Call the “readSalesFile” method and store the value in “sales” variable.
        • Call the “gatherCategories” method and store the value in “categories” variable.
        • Call the “printCategoryTotals” method
          • Set the “done” as true
      • In the “catch” block, display a file not found error message
      • In the “catch” block, display a no such element error message

Blurred answer
Students have asked these similar questions
I cannot program smart home automation rules from my device using a computer or phone, and I would like to know how to properly connect devices such as switches and sensors together ? Cisco Packet Tracer 1. Smart Home Automation:o Connect a temperature sensor and a fan to a home gateway.o Configure the home gateway so that the fan is activated when the temperature exceedsa set threshold (e.g., 30°C).2. WiFi Network Configuration:o Set up a wireless LAN with a unique SSID.o Enable WPA2 encryption to secure the WiFi network.o Implement MAC address filtering to allow only specific clients to connect.3. WLC Configuration:o Deploy at least two wireless access points connected to a Wireless LAN Controller(WLC).o Configure the WLC to manage the APs, broadcast the configured SSID, and applyconsistent security settings across all APs.
using r language for integration theta = integral 0 to infinity (x^4)*e^(-x^2)/2 dx (1) use the density function of standard normal distribution N(0,1) f(x) = 1/sqrt(2pi) * e^(-x^2)/2 -infinity <x<infinity as importance function and obtain an estimate theta 1 for theta set m=100 for the estimate whatt is the estimate theta 1? (2)use the density function of gamma (r=5 λ=1/2)distribution f(x)=λ^r/Γ(r) x^(r-1)e^(-λx) x>=0 as importance function and obtain an estimate theta 2 for theta set m=1000 fir the estimate what is the estimate theta2? (3) use simulation (repeat 1000 times) to estimate the variance of the estimates theta1 and theta 2 which one has smaller variance?
using r language A continuous random variable X has density function f(x)=1/56(3x^2+4x^3+5x^4).0<=x<=2 (1) secify the density g of the random variable Y you find for the acceptance rejection method. (2) what is the value of c you choose to use for the acceptance rejection method (3) use the acceptance rejection method to generate a random sample of size 1000 from the distribution of X .graph the density histogram of the sample and compare it with the density function f(x)

Chapter 11 Solutions

Big Java, Binder Ready Version: Early Objects

Ch. 11.3 - Prob. 11SCCh. 11.3 - Prob. 12SCCh. 11.3 - Prob. 13SCCh. 11.3 - Prob. 14SCCh. 11.3 - Prob. 15SCCh. 11.4 - Prob. 16SCCh. 11.4 - Prob. 17SCCh. 11.4 - Prob. 18SCCh. 11.4 - Prob. 19SCCh. 11.4 - Prob. 20SCCh. 11.4 - Prob. 21SCCh. 11.4 - Prob. 22SCCh. 11.4 - Prob. 23SCCh. 11.5 - Prob. 24SCCh. 11.5 - Prob. 25SCCh. 11.5 - Prob. 26SCCh. 11.5 - Prob. 27SCCh. 11.5 - Prob. 28SCCh. 11 - Prob. 1RECh. 11 - Prob. 2RECh. 11 - Prob. 3RECh. 11 - Prob. 4RECh. 11 - Prob. 5RECh. 11 - Prob. 6RECh. 11 - Prob. 7RECh. 11 - Prob. 8RECh. 11 - Prob. 9RECh. 11 - Prob. 10RECh. 11 - Prob. 11RECh. 11 - Prob. 12RECh. 11 - Prob. 13RECh. 11 - Prob. 14RECh. 11 - Prob. 15RECh. 11 - Prob. 16RECh. 11 - Prob. 17RECh. 11 - Prob. 18RECh. 11 - Write a program that carries out the following...Ch. 11 - Write a program that reads a file, removes any...Ch. 11 - Write a program that reads a file, removes any...Ch. 11 - Write a program that reads a file containing text....Ch. 11 - Repeat Exercise E11.4, but allow the user to...Ch. 11 - Write a program that reads a file containing two...Ch. 11 - Write a program that asks the user for a file name...Ch. 11 - Prob. 8PECh. 11 - Prob. 9PECh. 11 - Prob. 10PECh. 11 - Prob. 11PECh. 11 - Prob. 12PECh. 11 - Prob. 13PECh. 11 - Prob. 14PECh. 11 - Prob. 15PECh. 11 - Prob. 16PECh. 11 - Prob. 1PPCh. 11 - Prob. 2PPCh. 11 - Prob. 3PPCh. 11 - Prob. 4PPCh. 11 - Prob. 5PPCh. 11 - Prob. 6PPCh. 11 - Prob. 7PPCh. 11 - Prob. 8PPCh. 11 - Prob. 9PPCh. 11 - Prob. 10PPCh. 11 - Prob. 11PPCh. 11 - Prob. 12PPCh. 11 - Prob. 13PPCh. 11 - Prob. 14PP
Knowledge Booster
Background pattern image
Similar questions
SEE MORE QUESTIONS
Recommended textbooks for you
Text book image
Database System Concepts
Computer Science
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:McGraw-Hill Education
Text book image
Starting Out with Python (4th Edition)
Computer Science
ISBN:9780134444321
Author:Tony Gaddis
Publisher:PEARSON
Text book image
Digital Fundamentals (11th Edition)
Computer Science
ISBN:9780132737968
Author:Thomas L. Floyd
Publisher:PEARSON
Text book image
C How to Program (8th Edition)
Computer Science
ISBN:9780133976892
Author:Paul J. Deitel, Harvey Deitel
Publisher:PEARSON
Text book image
Database Systems: Design, Implementation, & Manag...
Computer Science
ISBN:9781337627900
Author:Carlos Coronel, Steven Morris
Publisher:Cengage Learning
Text book image
Programmable Logic Controllers
Computer Science
ISBN:9780073373843
Author:Frank D. Petruzella
Publisher:McGraw-Hill Education