Answer:
<u> Initial program output (from original program)</u>
Annual salary is: 40000
Monthly salary is: 3333
<u>Program output after workHoursPerWeek = 35</u>
Annual salary is: 35000
Monthly salary is: 2916
<u>Revised program (using variable workWeeksPerYear)</u>
- public static void main(String[] args) {
-
- int hourlyWage = 20;
- int workHoursPerWeek = 35;
- int workWeeksPerYear = 52;
- int annualSalary = 0;
-
- annualSalary = hourlyWage * workHoursPerWeek * workWeeksPerYear;
- System.out.print("Annual salary is: ");
- System.out.println(annualSalary);
-
- System.out.print("Monthly salary is: ");
- System.out.println((hourlyWage * workHoursPerWeek * workWeeksPerYear) / 12);
-
- return;
-
- }
Program output:
Annual salary is: 36400
Monthly salary is: 3033
<u>Revised Program after introducing monthly salary</u>
- public static void main(String[] args) {
-
- int hourlyWage = 20;
- int workHoursPerWeek = 35;
-
- int workWeeksPerYear = 52;
- int annualSalary = 0;
- int monthlySalary = 0;
-
- annualSalary = hourlyWage * workHoursPerWeek * workWeeksPerYear;
- monthlySalary = hourlyWage * workHoursPerWeek * workWeeksPerYear;
-
- System.out.print("Annual salary is: ");
- System.out.println(annualSalary);
-
- System.out.print("Monthly salary is: ");
- System.out.println((monthlySalary) / 12);
-
- return;
-
- }
Explanation:
One reason to use variable to replace the magic number is to improve the readability of the program. If we compared the revised version of the program with the original program, we will find that the variable enable our code easier to understand.
Besides, if we wish to change the value (e.g. working hours per year or per month), we just need to adjust the value assigned on the variables. The variables provide a single access point to get or change the value.
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Answer:
import numpy as np
l_int = 55/100
h_int = 65/100
hist = np.histogram( paid_tax_preparers_list, bins=5, range=(l_int, h_int))
Explanation:
Numpy is a Python package used to ease mathematical and statistical research calculations. The package creates data structures called arrays that can be used as vector items, making it easy and fast for calculation to be done.
The np.histogram method is used to create or plot histograms of a list or array against the frequency of the items in the array. The bins and the range attributes are used to adjust the display of the histogram, with bins being the number of bin in the graph and range is the given length of the histogram.
