Difference between revisions of "Manuals/calci/ANOVASINGLEFACTOR"

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*<math>Alpha</math> represents a constant value between '0' and '1'
 
*<math>Alpha</math> represents a constant value between '0' and '1'
 
*<math>GroupBy</math> is a method to perform the analysis by columns or rows
 
*<math>GroupBy</math> is a method to perform the analysis by columns or rows
*<math>NewTableFlag</math> that decides to display the output in the same worksheet or a new space cube.
+
*<math>NewTableFlag</math> decides if the output is to be displayed in the same worksheet or a new space cube.
  
 
ANOVASINGLEFACTOR() performs a simple analysis of variances between two data sets.
 
ANOVASINGLEFACTOR() performs a simple analysis of variances between two data sets.
  
 
== Description ==
 
== Description ==
 +
 
ANOVASINGLEFACTOR(Array, Alpha, GroupBy, NewTableFlag)
 
ANOVASINGLEFACTOR(Array, Alpha, GroupBy, NewTableFlag)
  

Revision as of 20:39, 5 January 2014

ANOVASINGLEFACTOR(Array, Alpha, GroupBy, NewTableFlag)

  • where, is an array of numbers or reference to cells containing array
  • represents a constant value between '0' and '1'
  • is a method to perform the analysis by columns or rows
  • decides if the output is to be displayed in the same worksheet or a new space cube.

ANOVASINGLEFACTOR() performs a simple analysis of variances between two data sets.

Description

ANOVASINGLEFACTOR(Array, Alpha, GroupBy, NewTableFlag)

  • Analysis Of Variances(ANOVA) is a method of checking relationship between two or more data sets.
  • should be in between '0' and '1'. Else Calci displays #N/A error message.
  • Analysis can be done by columns or rows. The choice should be entered in quotes (e.g. "COLUMNS" or "ROWS").
  • can be a logical value TRUE or FALSE. If omitted, Calci assumes it to be FALSE.
  • If is TRUE, the result is displayed on new zspace sheet.

Examples

Consider the following table with Columns A and B as array inputs for ANOVASINGLEFACTOR() function.

1 3
7 8
12 5
17 18
=ANOVASINGLEFACTOR(A1:B4,0.5,"COLUMNS",TRUE) displays results in a new space.

Anova: Single Factor
SUMMARY
Groups Count Sum Average Variance
ColumnA 4 37 9.25 46.916666666666664
ColumnB 4 34 8.5 44.333333333333336

ANOVA
Source of Variation Sum of Squares Degree of Freedom Mean of Squares F Probability F Critical
Between Groups: 1.125 1 1.125 0.024657534246575342 0.8886077621608085 5.987702296337573
Within Groups: 273.75 6 45.625
Total: 274.875 7

See Also

References