The FV function calculates the future value of an investment.
FV( interest_rate, number_payments, payment, PV, Type )
The NPER() function.
The PPMT function.
It is a financial function. It returns the future value of an investment based on an interest rate and a constant payment schedule. So if you are paying in a set amount on a regular basis, like every month, and there is a fixed interest rate, it can work out how much your investment will be worth. See the link below for more details.
It calculates an average from a database list in Excel, using specified criteria.It calculates an average from a database list in Excel, using specified criteria.It calculates an average from a database list in Excel, using specified criteria.It calculates an average from a database list in Excel, using specified criteria.It calculates an average from a database list in Excel, using specified criteria.It calculates an average from a database list in Excel, using specified criteria.It calculates an average from a database list in Excel, using specified criteria.It calculates an average from a database list in Excel, using specified criteria.It calculates an average from a database list in Excel, using specified criteria.It calculates an average from a database list in Excel, using specified criteria.It calculates an average from a database list in Excel, using specified criteria.
Surprisingly, it is =AVERAGE(number1, number2,...)
Here's how you do it in Excel: use the function =STDEV(<range with data>). That function calculates standard deviation for a sample.
The FV function.
The SUM function would be used to total up the figures for the budget, but other functions might be used too during the process.
NPER is a financial function in Excel. It returns the number of periods for an investment based on periodic, constant payments and a constant interest rate.
FV = Future Value
You use the TRIMMEAN function. It calculates the mean taken by leaving out a percentage of data points from the top and bottom of your set of data. You can use this function when you wish to exclude outlying data from your analysis.