A company wants to be able to produce reports, for any year, of the annual profit for
Question:
A company wants to be able to produce reports, for any year, of the annual profit for each of its three divisions, and for the company in total. The company tracks the sales of each division by quarter, but tracks the expenses on an annual basis only. Profit is calculated as: sales less expenses, less tax on sales less expenses.
Declare in main a 3 by 5 array for the company’s sales and expenses (three divisions, each with four quarters of sales and an annual expense).
Also, declare an empty vector for the three divisions' tax rates.
Have the user repeatedly enter a year for which reports are to be produced (unknown number of years), call the two functions described below and for the year entered, display the year and the company’s annual sales, annual expenses, and annual profit, and repeat until the user is finished.
The program will have two functions:
1) Have the user fill the sales and expenses array with quarterly sales for each division and its associated annual expenses. Validate that the entries are zero or greater. Also have the user store each division's tax rate in the vector.
2) Calculate and display each division’s annual sales, annual expenses, and profit (sales less expenses, minus tax on sales less expenses), and using reference variables accumulate and return to main the company’s annual sales, annual expenses and profit.
The tax rates for the three divisions are: 5.5%, 6.1%, and 4.8% (same for all years).
Provide screen prints for 2 years with the following data:
2012
division #1/sales: $25,000; $23,000; $28,000; $27,500/expenses: $81, 250
division #2/sales: $15,000; $13,500; $20,000; $17,250/expenses: $71, 050
division #3/sales: $29,000; $33,000; $38,000; $25,500/expenses: $100, 100
2015
division #1/sales: $25,100; $23,000; $25,000; $26,500/expenses: $91, 250
division #2/sales: $12,000; $11,500; $20,000; $13,250/expenses: $171, 050
division #3/sales: $28,000; $30,000; $39,000; $27,500/expenses: $130, 100
Applied Regression Analysis and Other Multivariable Methods
ISBN: 978-1285051086
5th edition
Authors: David G. Kleinbaum, Lawrence L. Kupper, Azhar Nizam, Eli S. Rosenberg