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 299
Usage Notes
The VAR function nds the sample (unbiased) variance by dividing the sum of the Â
squares of the deviations of the data points by one less than the number of values.
It is appropriate to use VAR when the specied values represent only a sample of a Â
larger population. If the values you are analyzing represent the entire collection or
population, use the VARP function.
If you want to include text or Boolean values in the computation, use the VARA function. Â
The square root of the variance returned by the VAR function is returned by the Â
STDEV function.
Examples
Assume you have administered ve tests to a group of students. You have arbitrarily selected ve
students to represent the total population of students (note that this is an example only; this would
not likely be statistically valid). Using the sample data, you could use the VAR function to determine
which test had the widest dispersion of test scores.
The results of the VAR functions are approximately 520.00, 602.00, 90.30, 65.20, and 11.20. So test 2
had the highest dispersion, followed closely by test 1. The other three tests had low dispersion.
Test 1 Test 2 Test 3 Test 4 Test 5
Student 1 75 82 90 78 84
Student 2 100 90 95 88 90
Student 3 40 80 78 90 85
Student 4 80 35 95 98 92
Student 5 75 82 90 78 84
=VAR(B2:B6) =VAR(C2:C6) =VAR(D2:D6) =VAR(E2:E6) =VAR(F2:F6)
Related Topics
For related functions and additional information, see:
“STDEV” on page 290
“STDEVA” on page 291
“STDEVP” on page 293
“STDEVPA” on page 294
“VARA” on page 300
“VARP” on page 302
“VARPA” on page 303
“Survey Results Example” on page 362










