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
Chapter 10 Statistical Functions 295
The standard deviation is the square root of the variance returned by the VARPA Â
function.
Example
Assume you have installed a temperature sensor in Cupertino, California. The sensor records each
day’s high and low temperatures. In addition, you have kept a record of each day you turned on the
air conditioner in your condo. The sensor failed after the rst few days so the following table is the
population of high and low temperatures.
=STDEVPA(B2:B13) returns 23.7702, the dispersion as measured by STDEVPA, of the sample of daily
high temperatures.
It exceeds the actual range of high temperatures of 15 degrees because the “unavailable” temperature
is given a value of zero.
Related Topics
For related functions and additional information, see:
“STDEV” on page 290
“STDEVA” on page 291
“STDEVP” on page 293
“VAR” on page 298
“VARA” on page 300
“VARP” on page 302
“VARPA” on page 303
“Survey Results Example” on page 362
“Listing of Statistical Functions” on page 225
“Value Types” on page 36
“The Elements of Formulas” on page 15










