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
reg-ss: The regression sum of squares.
reside-ss: The residual sum of squares.
Usage Notes
It does not matter whether the known x values and known y values are in rows or Â
columns. In either case, the returned array is ordered by rows as illustrated in the
table.
The example assumed ve sets of known x values. If there were more or less than Â
ve, the number of columns in the returned array would change accordingly (it is
always equal to the number of sets of known x values plus 1), but the number of
rows would remain constant.
If additional statistics are not specied in the arguments to LINEST, the returned Â
array is equal to the rst row only.
LOGINV
The LOGINV function returns the inverse of the log-normal cumulative distribution
function of x.
LOGINV(probability, mean, stdev)
 probability: A probability associated with the distribution. probability is a number
value and must be greater than 0 and less than 1.
 mean: The mean of the natural logarithm, that is, ln
(x)
. mean is a number value and
is the average (arithmetic mean) of ln
(x)
; the natural logarithm of x.
 stdev: The standard deviation of the population. stdev is a number value and must
be greater than 0.
Usage Notes
LOGINV is appropriate where the logarithm of x is normally distributed. Â
Example
=LOGINV(0.78, 1.7, 2.2) returns 29.9289150377259.
Related Topics
For related functions and additional information, see:
“LN” on page 179
“LOGNORMDIST” on page 269
“Listing of Statistical Functions” on page 225
“Value Types” on page 36
268 Chapter 10 Statistical Functions










