Answer:
TAX_RATE = 0.20
STANDART_DEDUCTION = 10000.0
DEPENDENT_DEDUCTION = 3000.0
gross_income = float(input("Enter the gross income: "))
number_of_dependents = int(input("Enter the number of dependents: "))
income = gross_income - STANDART_DEDUCTION - (DEPENDENT_DEDUCTION * number_of_dependents)
tax = income * TAX_RATE
print ("The income tax is $" + str(round(tax, 2)))
Explanation:
Define the <em>constants</em>
Ask user to enter the <em>gross income</em> and <em>number of dependents</em>
Calculate the <em>income</em> using formula (income = gross_income - STANDART_DEDUCTION - (DEPENDENT_DEDUCTION * number_of_dependents))
Calculate the <em>tax</em>
Print the <em>tax</em>
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round(number, number of digits) -> This is the general usage of the <em>round</em> function in Python.
Since we need <u>two digits of precision</u>, we need to modify the program as str(<u>round(incomeTax, 2</u>)).
Answer:
John von Neumann is remarkable for his vast knowledge of mathematics, and the sciences as well as his ability to correlate the pure and applied sciences.
Explanation:
John von Neumann who was born on December 28 1903, and died on February 8,1957 was known for his extensive knowledge of mathematics, physics, computer, economics, and statistics. In computing, he was known to conceive the idea of the self-replicating machines that thrive in the automata cellular environment, the von Neumann architecture, stochastic computing and linear programming.
He developed the game theory in Economics, and laid the foundation for several mathematical theories. He contributed greatly to quantum mechanics and quantum physics. Little wonder, he was dubbed "the last representative of the great mathematicians."
Answer:
Here's ur answer
Explanation:
(i) Should consist of standardized and acceptable symbols. (ii) The symbols should be correctly used according to flowcharts rules. (iii) Should have short, clear and readable statements written inside the symbols. (iv) It must have clear one starting point and one ending point.
Answer: Operating system
Explanation:
The operating system is the type of software that are responsible for manage the processor time and also the memory allocation in the system. The operating system mainly deals with the processor time by scheduling the processor work done in the system.
The OS mainly control the system and then schedule the execution of various types of function by the central processing system (CPU). It also control the memory allocation in the system.
Normal or random variations that are considered part of operating the system at its current capability are <u> c. common cause variations.</u>
Explanation:
Common cause variation is fluctuation caused by unknown factors resulting in a steady but random distribution of output around the average of the data.
Common-cause variation is the natural or expected variation in a process.
Common-cause variation is characterised by:
- Phenomena constantly active within the system
- Variation predictable probabilistically
- Irregular variation within a historical experience base
It is a measure of the process potential, or how well the process can perform when special cause variation removed.
Common cause variation arises from external sources that are not inherent in the process and is where statistical quality control methods are most useful.
Statistical process control charts are used when trying to monitor and control 5- and 6-sigma quality levels.