Manuals/calci/ANOVASINGLEFACTOR

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Analysis Of Variances(ANOVA) is a method of checking if there is a relationship between two ror more data sets.ANOVA :Single Factor performs a simple analysis of variances between two data sets.

ANOVA :Single Factor performs a simple analysis of variances between two data sets.

ANOVA:SINGLE FACTOR returns #ERROR, if Alpha <0 or Alpha >1.


ANOVA : SINGLE FACTOR


what is ANOVA?

Remarks

Examples

Description

Syntax

=ANOVASIGLEFACTOR(Array, Alpha, GroupBy,NewTableFlag)

where,

Array - Input range should be one or two blocks.

Alpha - represents the constant and value in between 0 and 1.

GroupBy - Either groupby columns or rows.

NewTableFlag - is the TRUE or FALSE.If set as TRUE, the result in new sheet.If NewTableFlag is omitted, it assumed to be false.


Column1 Column2 Column3 Column4
Row1 1 3 15Space 5
Row2 7 8 9 128
Row3 12 5 14 15
Row4 17 18 #ERROR 20
Row5 37 31 23 168
Row6 16Space 0.850904 1.619775 0.525322

Anova: Single Factor
SUMMARY
Groups Count Sum Average Variance
Column1 4 37 9.25 46.916666666666664
Column2 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 5.98702940083107
Within Groups: 273.75 6 45.625
Total: 274.875 7

Anova: Single Factor
SUMMARY
Groups Count Sum Average Variance
Column1 4 37 9.25 46.916666666666664
Column2 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 5.98702940083107
Within Groups: 273.75 6 45.625
Total: 274.875 7

Lets see an example in (Column3 , Row1)

=ANOVASINGLEFACTOR(R1C1:R4:C2, 0.05, "columns", TRUE)

ANOVASINGLEFACTOR returns the result in new sheet(15Space).

=ANOVASINGLEFACTOR(R1C1:R4C2 , 0.05, "rows", TRUE)

It returns the results in new sheet(16Space).

=ANOVASINGLEFACTOR(R1C1:R4C2 , -0.05, "rows", FALSE)

It returns the #ERROR(Alpha >1 or Alpha<0)