Formulas and Functions
Table Of Contents
- Formulas and Functions
- Contents
- Preface: Welcome to iWork Formulas & Functions
- Chapter 1: Using Formulas in Tables
- The Elements of Formulas
- Performing Instant Calculations in Numbers
- Using Predefined Quick Formulas
- Creating Your Own Formulas
- Removing Formulas
- Referring to Cells in Formulas
- Using Operators in Formulas
- The String Operator and the Wildcards
- Copying or Moving Formulas and Their Computed Values
- Viewing All Formulas in a Spreadsheet
- Finding and Replacing Formula Elements
- Chapter 2: Overview of the iWork Functions
- Chapter 3: Date and Time Functions
- Chapter 4: Duration Functions
- Chapter 5: Engineering Functions
- Chapter 6: Financial Functions
- Chapter 7: Logical and Information Functions
- Chapter 8: Numeric Functions
- Chapter 9: Reference Functions
- Chapter 10: Statistical Functions
- Listing of Statistical Functions
- AVEDEV
- AVERAGE
- AVERAGEA
- AVERAGEIF
- AVERAGEIFS
- BETADIST
- BETAINV
- BINOMDIST
- CHIDIST
- CHIINV
- CHITEST
- CONFIDENCE
- CORREL
- COUNT
- COUNTA
- COUNTBLANK
- COUNTIF
- COUNTIFS
- COVAR
- CRITBINOM
- DEVSQ
- EXPONDIST
- FDIST
- FINV
- FORECAST
- FREQUENCY
- GAMMADIST
- GAMMAINV
- GAMMALN
- GEOMEAN
- HARMEAN
- INTERCEPT
- LARGE
- LINEST
- Additional Statistics
- LOGINV
- LOGNORMDIST
- MAX
- MAXA
- MEDIAN
- MIN
- MINA
- MODE
- NEGBINOMDIST
- NORMDIST
- NORMINV
- NORMSDIST
- NORMSINV
- PERCENTILE
- PERCENTRANK
- PERMUT
- POISSON
- PROB
- QUARTILE
- RANK
- SLOPE
- SMALL
- STANDARDIZE
- STDEV
- STDEVA
- STDEVP
- STDEVPA
- TDIST
- TINV
- TTEST
- VAR
- VARA
- VARP
- VARPA
- ZTEST
- Chapter 11: Text Functions
- Chapter 12: Trigonometric Functions
- Chapter 13: Additional Examples and Topics
- Index
 largest-is-high: An optional value specifying whether the smallest or the largest
value in the collection is ranked 1.
largest is low (0, FALSE, or omitted): Assign the largest value in the collection the
rank 1.
largest is high (1, or TRUE): Assign the smallest value in the collection the rank 1.
Usage Notes
Values included in the collection that are the same are ranked together, but impact Â
the outcome.
If the specied value does not match any of the values in the collection, an error is Â
returned.
Examples
Assume the following table contains the cumulative test scores for this semester for your 20 students.
(We have organized the data this way for the example; it would likely originally have been in 20
separate rows.)
=RANK(30, A1:E4, 1) returns 1, as 30 is the smallest cumulative test score and we chose to rank the
smallest rst.
=RANK(92, A1:E4, 0) returns 2, as 92 is the second-largest cumulative test score and we chose to rank
largest rst.
=RANK(91, A1:E4, 1) returns 4, as there is a “tie” for second place. The order is 100, 92, 92, then 91 and
the rank is 1, 2, 2, and then 4.
Related Topics
For related functions and additional information, see:
“LARGE” on page 264
“SMALL” on page 288
“Listing of Statistical Functions” on page 225
“Value Types” on page 36
“The Elements of Formulas” on page 15
“Using the Keyboard and Mouse to Create and Edit Formulas” on page 26
“Pasting from Examples in Help” on page 41
286 Chapter 10 Statistical Functions










