Answer:
Option D. float is the correct answer.
Explanation:
Decimal number contains decimal point. Out of all the given data types, float data type store the number with decimal point.
As the number has to be further used for calculations float ahs to be used. Because the numbers can also be stored in string but cannot be used for further calculations.
Hence,
Option D. float is the correct answer.
Answer:
Call showValue (12)
Explanation:
The function is a block of the statement which performs the special task.
if you define the function, then you have to call that function.
Then, program control moves to the function and start to execute otherwise not execute the function.
the syntax for calling the function:
name(argument_1, argument_2,....);
we can put any number of arguments in the calling.
check the options one by one for finding the answer:
Call showValue( Integer): this is valid calling but it passes the variable, not the 12. this is not correct.
Call showValue( Integer 12): This is not valid calling, because it passes the data type as well which is incorrect.
Call showValue( Real): this is valid calling but it passes the variable, not the 12. this is not correct.
Call showValue (12): this valid calling and also pass the value 12.
Therefore, the correct answer is option b.
Answer:
Click anywhere in the dataset
Go to Insert –> Tables –> Pivot Table.
In the Create Pivot Table dialog box, the default options work fine in most of the cases.
click ok
Explanation:
Answer:
Explanation:
The following code is written in Python. It asks the user to enter the current balance and the annual interest rate. It then calculates the monthly interest rate and uses that to detect the interest that will be earned for the next month. Finally, printing that to the screen. A test output can be seen in the attached picture below.
balance = int(input("Enter current Balance: "))
interest = int(input("Enter current annual interest %: "))
interest = (interest / 12) / 100
next_month_interest = balance * interest
print('$ ' + str(next_month_interest))