VAR.P()/VARP()
by Helmut Reinke Egbert Jeschke Sara Unverhau, Eckehard Pfeifer, Bodo Fienitz, and
Microsoft® Excel® 2010 Formulas & Functions Inside Out
- Microsoft® Excel® 2010 Formulas & Functions Inside Out
- A Note Regarding Supplemental Files
- Introduction
- 1. Solving Problems with Functions
- Introducing the New Functions in Excel 2010
- Scenario and Goals
- The New Way to Work with Data, Formulas, and Functions
- Entering Test Data Fast
- Converting Formula Results into Fixed Values
- Formatting Numeric Values
- Calculating Profit Margin
- Formatting Data as a Table
- Calculating Profit Margin as a Percentage
- Applying Conditional Formatting
- Creating Meaningful Charts
- Working with PivotTables
- Using PivotCharts: Graphical Pivot
- 2. Using Functions and PowerPivot
- Using Date and Time Functions
- The Excel Date System
- Date and Time Number Formats
- Leap Years
- Analysis Functions
- Date and Time Functions in Practice
- Calculating the Start and End of Daylight Saving Time
- Identifying What Day of the Year Today Is
- Calculating with Time
- Calculating Working Hours
- Calculating Beyond the Date Limit
- Adding Time Intervals
- Calculating the Salary for Working Hours
- Rounding Time Values
- Identifying the Quarter
- Converting Normal Hours into Decimal Hours (Industrial Hours)
- Using Text and Data Functions
- Separating Text Strings Such as ZIP Code and Location
- Separating First and Last Names
- Switching the First and Last Names
- Resolving the IBAN
- Calculating the Frequency of a Character in a String
- Removing All Spaces
- Correcting the Position of Signs
- Displaying the File and Worksheet Name
- Concatenating the Content of Cells
- Breaking Lines in Concatenated Text
- Visualizing Data
- Using Logical Functions
- Using Search and Reference Functions
- Using Information Functions
- Using Statistical Functions
- Using Database Functions
- Using Cube Functions
- Using Financial Math Functions
- Using Math and Trigonometry Functions
- PowerPivot
- 3. From Numbers to Formulas
- Entering Formulas
- Operators
- References in Formulas
- Array Formulas
- Tips and Tricks
- Turning the Formula View On and Off
- Entering Formulas in Several Cells
- Entering Formulas in Several Worksheets
- Selecting Formula Cells
- Determining Which Cells Are Referenced in a Formula
- Copying and Moving Formulas
- Moving Formula Cells
- Copying Formula Cells
- Converting Formula Results into Fixed Values
- Converting Existing Values
- Protecting Formulas
- Hiding Formulas
- Specifying the Formula Calculation Type
- Analyzing Formulas
- Troubleshooting: Example 1
- Troubleshooting: Example 2
- 4. Formulas and Functions
- 5. Functions in Special Operations
- Functions in Names
- Functions for Conditional Formatting
- Highlighting Weekends in Color
- Using the MATCH() Function
- Highlighting Identical Values
- Finding the Differences Between Tables on Different Worksheets
- List Print Layout
- Emphasizing the Top Three Elements
- Highlighting Cells Containing Spaces
- Navigating in Tables with Reference Lines
- Formatting Data Groups
- Formatting Subtotal Results
- Tips for Conditional Formatting in Excel 2003
- Tips and Troubleshooting for Conditional Formatting
- Functions for Validation
- 6. Custom Functions
- 7. Date and Time Functions
- 8. Text and Data Functions
- 9. Logical Functions
- 10. Lookup and Reference Functions
- 11. Information Functions
- 12. Statistical Functions
- AVEDEV()
- AVERAGE()
- AVERAGEA()
- AVERAGEIF()
- AVERAGEIFS()
- BETA.DIST()/BETADIST()
- BETA.INV()/BETAINV()
- BINOM.DIST()/BINOMDIST()
- BINOM.INV()/CRITBINOM()
- CHISQ.DIST()
- CHISQ.DIST.RT()/CHIDIST()
- CHISQ.INV()
- CHISQ.INV.RT()/CHIINV()
- CHISQ.TEST()/CHITEST()
- CONFIDENCE.NORM()/CONFIDENCE()
- CONFIDENCE.T()
- CORREL()
- COUNT()
- COUNTA()
- COUNTBLANK()
- COUNTIF()
- COUNTIFS()
- COVAR()
- COVARIANCE.P()
- COVARIANCE.S()
- DEVSQ()
- EXPON.DIST()/EXPONDIST()
- F.DIST()
- F.DIST.RT()/FDIST()
- F.INV()
- F.INV.RT()/FINV()
- F.TEST()/FTEST()
- FISHER()
- FISHERINV()
- FORECAST()
- FREQUENCY()
- GAMMA.DIST()/GAMMADIST()
- GAMMA.INV()/GAMMAINV()
- GAMMALN()
- GAMMALN.PRECISE()
- GEOMEAN()
- GROWTH()
- HARMEAN()
- HYPGEOM.DIST()/HYPGEOMDIST()
- INTERCEPT()
- KURT()
- LARGE()
- LINEST()
- LOGEST()
- LOGNORM.DIST()/LOGNORMDIST()
- LOGNORM.INV()/LOGINV()
- MAX()
- MAXA()
- MEDIAN()
- MIN()
- MINA()
- MODE.SNGL()/MODE()
- MODE.MULT()
- NEGBINOM.DIST()/NEGBINOMDIST()
- NORM.DIST()/NORMDIST()
- NORM.INV()/NORMINV()
- NORM.S.DIST()/NORMSDIST()
- NORM.S.INV()/NORMSINV()
- PEARSON()
- PERCENTILE()
- PERCENTILE.EXC()
- PERCENTILE.INC()
- PERCENTRANK()
- PERCENTRANK.EXC()
- PERCENTRANK.INC()
- PERMUT()
- POISSON.DIST()/POISSON()
- PROB()
- QUARTILE()
- QUARTILE.EXC()
- QUARTILE.INC()
- RANK()
- RANK.AVG()
- RANK.EQ()
- RSQ()
- SKEW()
- SLOPE()
- SMALL()
- STANDARDIZE()
- STDEV.P()/STDEVP()
- STDEV.S()/STDEV()
- STDEVA()
- STDEVPA()
- STEYX()
- T.DIST()
- T.DIST.RT()
- T.DIST.2T()/TDIST()
- T.INV()
- T.INV.2T()/TINV()
- T.TEST()/TTEST()
- TREND()
- TRIMMEAN()
- VAR.P()/VARP()
- VAR.S()/VAR()
- VARA()
- VARPA()
- WEIBULL.DIST()/WEIBULL()
- Z.TEST()/ZTEST()
- 13. Database Functions
- 14. Cube Functions
- 15. Financial Functions
- ACCRINT()
- ACCRINTM()
- AMORDEGRC()
- AMORLINC()
- COUPDAYBS()
- COUPDAYS()
- COUPDAYSNC()
- COUPNCD()
- COUPNUM()
- COUPPCD()
- CUMIPMT()
- CUMPRINC()
- DB()
- DDB()
- DISC()
- DOLLARDE()
- DOLLARFR()
- DURATION()
- EFFECT()
- FV()
- FVSCHEDULE()
- INTRATE()
- IPMT()
- IRR()
- ISPMT()
- MDURATION()
- MIRR()
- NOMINAL()
- NPER()
- NPV()
- ODDFPRICE()
- ODDFYIELD()
- ODDLPRICE()
- ODDLYIELD()
- PMT()
- PPMT()
- PRICE()
- PRICEDISC()
- PRICEMAT()
- PV()
- RATE()
- RECEIVED()
- SLN()
- SYD()
- TBILLEQ()
- TBILLPRICE()
- TBILLYIELD()
- VDB()
- XIRR()
- XNPV()
- YIELD()
- YIELDDISC()
- YIELDMAT()
- 16. Mathematical and Trigonometry Functions
- Functions for Mathematical Calculations
- Functions for Trigonometry Calculations
- Other Functions
- ABS()
- ACOS()
- ACOSH()
- AGGREGATE()
- ASIN()
- ASINH()
- ATAN()
- ATAN2()
- ATANH()
- CEILING()
- CEILING.PRECISE()
- COMBIN()
- COS()
- COSH()
- DEGREES()
- EVEN()
- EXP()
- FACT()
- FACTDOUBLE()
- FLOOR()
- FLOOR.PRECISE()
- GCD()
- INT()
- LCM()
- LN()
- LOG()
- LOG10()
- MDETERM()
- MINVERSE()
- MMULT()
- MOD()
- MROUND()
- MULTINOMIAL()
- ODD()
- PI()
- POWER()
- PRODUCT()
- QUOTIENT()
- RADIANS()
- RAND()
- RANDBETWEEN()
- ROMAN()
- ROUND()
- ROUNDDOWN()
- ROUNDUP()
- SERIESSUM()
- SIGN()
- SIN()
- SINH()
- SQRT()
- SQRTPI()
- SUBTOTAL()
- SUM()
- SUMIF()
- SUMIFS()
- SUMPRODUCT()
- SUMSQ()
- SUMX2MY2()
- SUMX2PY2()
- SUMXMY2()
- TAN()
- TANH()
- TRUNC()
- 17. Engineering Functions
- A. Excel Functions (in Alphabetical Order)
- B. Excel Functions (by Category)
- C. What’s New in Excel 2007 and Excel 2010
- D. About the Authors
- Index
- About the Authors
- Copyright
Syntax. VAR.P(number1,number2,...)
Definition. This function calculates the variance based on the population.
Arguments
number1 (required) and number2 (optional). At least one and up to 255 arguments (30 in Excel 2003 and earlier versions) corresponding to a population
Note
The VAR.P() function assumes that its arguments are the entire population. If your data represents a sample of the population, calculate the variance with VAR.S() or VARA().
Logical values (TRUE and FALSE) and text are ignored. If you want to include logical values in the calculation, use the VARPA() function.
Background. Because the only difference between VAR.P() and VAR.S() is that VAR.P() doesn’t calculate the variance based on a sample but based on the entire population, this example focuses on VAR.P(). You will find more information about variances in the description of VAR.S().
VAR.P() uses the following formula:
The value x is the sample mean AVERAGE(number1,number2,...), and n is the sample data set.
Example. Let’s get back to the website evaluation of the software company (see Figure 12-150).
Note
Note that the data to be evaluated includes the entire population. This means that the website has been available for only 18 months and that all the visits of the past 18 months have been recorded. The calculation with VAR.P() and VARPA() is based on the population of the data from January 2007 to June 2008.
Therefore, the VAR.P() and VAR.S() functions, which use different formulas, also return different results (see Figure 12-150). If you take a closer look at the DOWNLOAD area, you can make the following statement: The average squared deviation of the values from the arithmetic mean based on the population is 263,885.
Figure 12-150. Unlike VAR.S(), the calculation with the VAR.P() function includes the entire population.
Sample Files
Use the VARP or VAR.P worksheet in the Variance.xls or Variance.xlsx sample file. The sample files are found in the Chapter12 folder. For more information about the sample files, see the section titled Using the Sample Files.
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