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484 Formula Functions Reference Appendix C<br />

Statistical Functions<br />

computes the total for each row of all revenue values for rows 1 through the current row number, filling<br />

the calculated column with the cumulative totals of the revenue column.<br />

Figure C.16 Example of the Summation function<br />

Product (Π)<br />

Evaluates for an explicit range of values in a column, as given by the summation indices, as opposed to<br />

all other statistical functions (except Summation), which always evaluate on every row. Product uses the<br />

notation shown in the formulas on the right in Figure C.17. To calculate a product, replace the missing<br />

body term with an expression containing the index variable j. Product repeatedly evaluates the<br />

expression for i = 1, i = 2, through i = n and multiplies the nonmissing results together to determine the<br />

final result.<br />

You can replace NRow(), the number of rows in the active spreadsheet and the index constant, i, with<br />

any expression appropriate for your formula.<br />

For example, the expression second product example in Figure C.17 calculates i! (each row number’s<br />

factorial).<br />

Figure C.17 Examples of the Product Function<br />

Minimum and Maximum<br />

Return the minimum and maximum value, respectively, from the list of nonmissing arguments you<br />

specify.<br />

N Missing<br />

Counts the number of missing values in the list of arguments you specify.<br />

Desirability<br />

Are smooth piecewise functions that are crafted to fit the control points. The minimize and maximize<br />

functions are three-part piecewise smooth functions that have exponential tails and a cubic middle.<br />

The target function is a piecewise function that is a scale multiple of a normal density on either side of<br />

the target (with different curves on each side), which is also piecewise smooth and fit to the control<br />

points.

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