Difference between revisions of "Manuals/calci/ANOVATWOFACTORWITHOUTREPLICATION"
Jump to navigation
Jump to search
(Created page with "<div id="6SpaceContent" class="zcontent" align="left">Analysis Of Variances(ANOVA) is a method of checking if there is a relationship between two ror more data sets.</div> --...") |
|||
Line 1: | Line 1: | ||
− | + | =ANOVATWOFACTORWITHOUTREPLICATION(Array, Alpha, NewTableFlag)= | |
− | |||
− | |||
− | |||
− | |||
− | + | *where, <math>Array</math> is an array of numbers or reference to cells containing array | |
+ | *<math>Alpha</math> represents a constant value between '0' and '1' | ||
+ | *<math>NewTableFlag</math> that decides to display the output in the same worksheet or a new space cube. | ||
− | + | ANOVATWOFACTORWITHOUTREPLICATION() performs an analysis of variances between two or more data sets. | |
− | |||
− | |||
− | + | == Description == | |
− | + | ANOVATWOFACTORWITHOUTREPLICATION(Array, Alpha, NewTableFlag) | |
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | < | + | *Analysis Of Variances(ANOVA) is a method of checking relationship between two or more data sets. |
+ | *<math>Alpha</math> should be in between '0' and '1'. Else Calci displays #N/A error message. | ||
+ | *<math>NewTableFlag</math> can be a logical value TRUE or FALSE. If omitted, Calci assumes it to be FALSE. | ||
+ | *If <math>NewTableFlag</math> is TRUE, the result is displayed on new zspace sheet. | ||
− | + | == Examples == | |
− | + | Consider the following table with Columns A and B as array inputs for ANOVATWOFACTORWITHOUTREPLICATION() function. | |
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
<div id="2SpaceContent" class="zcontent" align="left"> | <div id="2SpaceContent" class="zcontent" align="left"> | ||
{| id="TABLE3" class="SpreadSheet blue" | {| id="TABLE3" class="SpreadSheet blue" | ||
|- class="even" | |- class="even" | ||
+ | | class="sshl_f" | 1 | ||
+ | | class=" " |3 | ||
| class=" " | | | class=" " | | ||
− | + | ||
− | |||
− | |||
− | |||
|- class="odd" | |- class="odd" | ||
− | | class=" " | | + | | class="sshl_f" | 2 |
− | | class=" " | | + | | class=" " |5 |
− | + | | class=" " | | |
− | | class=" | + | |
− | |||
|- class="even" | |- class="even" | ||
− | | class="sshl_f" | | + | | class="sshl_f" | 6 |
− | | class=" " | | + | | class=" " |41 |
− | | class=" " | | + | | class=" " | |
− | + | ||
− | |||
|- class="odd" | |- class="odd" | ||
− | | class="sshl_f" | | + | | class="sshl_f" | 8 |
− | | class=" " | | + | | class=" " |45 |
− | | class=" " | | + | | class=" " | |
− | + | ||
− | |||
− | |||
|- class="even" | |- class="even" | ||
− | | class="sshl_f" | | + | | class="sshl_f" | 9 |
− | | class=" " | | + | | class=" " |56 |
− | | class=" " | | + | | class=" " | |
− | + | ||
− | |||
|- class="odd" | |- class="odd" | ||
− | | class="sshl_f" | | + | | class="sshl_f" | 10 |
− | | class=" " | | + | | class=" " |8 |
− | | class=" " | | + | | class=" " | |
− | + | ||
− | |||
|- class="even" | |- class="even" | ||
− | | class="sshl_f" | | + | | class="sshl_f" | 7 |
− | + | | class=" " |8 | |
− | | class=" " | 8 | + | | class=" " | |
− | | class=" | + | |
− | |||
|- class="odd" | |- class="odd" | ||
− | | class="sshl_f" | | + | | class="sshl_f" | 12 |
− | | class=" " | | + | | class=" " |5 |
− | | class=" " | | + | | class=" " | |
− | + | ||
− | |||
|- class="even" | |- class="even" | ||
− | | class="sshl_f" | | + | | class="sshl_f" | 17 |
− | | class=" " | | + | | class=" " |18 |
− | | class=" " | | + | | class=" " | |
− | + | ||
− | |||
|- class="odd" | |- class="odd" | ||
− | | class="sshl_f" | | + | | class="sshl_f" | 72 |
− | | class=" " | | + | | class=" " |31 |
− | | class=" " | | + | | class=" " | |
− | + | ||
− | |||
|- class="even" | |- class="even" | ||
− | | class="sshl_f" | | + | | class="sshl_f" | 6 |
− | | class=" " | | + | | class=" " |3 |
− | | class=" " | | + | | class=" " | |
− | + | ||
− | |||
|- class="odd" | |- class="odd" | ||
− | | class="sshl_f" | | + | | class="sshl_f" | 2 |
− | | class=" " | | + | | class=" " |7 |
− | | class=" " | | + | | class=" " | |
− | + | ||
− | |||
|- class="even" | |- class="even" | ||
− | | class="sshl_f" | | + | | class="sshl_f" | |
− | | class=" " | | + | | class=" " | |
− | | class=" | + | | class=" " | |
− | |||
− | |||
|} | |} | ||
− | + | ||
− | + | =ANOVATWOFACTORWITHOUTREPLICATION(A1:B12, 0.01, TRUE) returns the result in new Zspace cube. | |
+ | |||
<div id="8SpaceContent" class="zcontent" align="left"> | <div id="8SpaceContent" class="zcontent" align="left"> | ||
Line 226: | Line 179: | ||
| 152 | | 152 | ||
| 12.666666666666666 | | 12.666666666666666 | ||
− | | 369. | + | | 369.69696969696975 |
|- class="even" | |- class="even" | ||
| Column2 | | Column2 | ||
Line 252: | Line 205: | ||
| 1.6419915556286661 | | 1.6419915556286661 | ||
| 0.21186926809792436 | | 0.21186926809792436 | ||
− | | 4. | + | | 4.463512627383915 |
|- class="even" | |- class="even" | ||
| Columns: | | Columns: | ||
Line 260: | Line 213: | ||
| 0.9174206283928278 | | 0.9174206283928278 | ||
| 0.4028687266699078 | | 0.4028687266699078 | ||
− | | 9. | + | | 9.6447311508211713 |
|- class="odd" | |- class="odd" | ||
| Error: | | Error: | ||
Line 268: | Line 221: | ||
|- class="even" | |- class="even" | ||
| Total: | | Total: | ||
− | | 8283. | + | | 8283.833333333336 |
| 23 | | 23 | ||
|} | |} | ||
− | + | == See Also == | |
− | + | ||
+ | *[[Manuals/calci/ANOVATWOFACTORWITHREPLICATION | ANOVATWOFACTORWITHREPLICATION]] | ||
+ | *[[Manuals/calci/ANOVASINGLEFACTOR | ANOVASINGLEFACTOR]] | ||
+ | |||
+ | == References == | ||
+ | |||
+ | *[http://en.wikipedia.org/wiki/Analysis_of_variance ANOVA] | ||
+ | *[http://en.wikipedia.org/wiki/Analysis_of_variance#ANOVA_for_multiple_factors Anova Multiple Factors] |
Revision as of 15:42, 6 January 2014
ANOVATWOFACTORWITHOUTREPLICATION(Array, Alpha, NewTableFlag)
- where, is an array of numbers or reference to cells containing array
- represents a constant value between '0' and '1'
- that decides to display the output in the same worksheet or a new space cube.
ANOVATWOFACTORWITHOUTREPLICATION() performs an analysis of variances between two or more data sets.
Description
ANOVATWOFACTORWITHOUTREPLICATION(Array, Alpha, 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.
- 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 ANOVATWOFACTORWITHOUTREPLICATION() function.
1 | 3 | |
2 | 5 | |
6 | 41 | |
8 | 45 | |
9 | 56 | |
10 | 8 | |
7 | 8 | |
12 | 5 | |
17 | 18 | |
72 | 31 | |
6 | 3 | |
2 | 7 | |
=ANOVATWOFACTORWITHOUTREPLICATION(A1:B12, 0.01, TRUE) returns the result in new Zspace cube.
Count | Sum | Average | Variance | |
---|---|---|---|---|
Row1 | 2 | 4 | 2 | 2 |
Row2 | 2 | 7 | 3.5 | 4.5 |
Row3 | 2 | 47 | 23.5 | 612.5 |
Row4 | 2 | 53 | 26.5 | 684.5 |
Row5 | 2 | 65 | 32.5 | 1104.5 |
Row6 | 2 | 18 | 9 | 2 |
Row7 | 2 | 15 | 7.5 | 0.5 |
Row8 | 2 | 17 | 8.5 | 24.5 |
Row9 | 2 | 35 | 17.5 | 0.5 |
Row10 | 2 | 103 | 51.5 | 840.5 |
Row11 | 2 | 9 | 4.5 | 4.5 |
Row12 | 2 | 9 | 4.5 | 12.5 |
Column1 | 12 | 152 | 12.666666666666666 | 369.69696969696975 |
Column2 | 12 | 230 | 19.166666666666668 | 360.3333333333333 |
Source of Variation | Sum of Squares | Degree of Freedom | Mean of Squares | F | Probability | F Critical |
---|---|---|---|---|---|---|
Rows: | 4990.833333333334 | 11 | 453.71212121212124 | 1.6419915556286661 | 0.21186926809792436 | 4.463512627383915 |
Columns: | 253.50000000000017 | 1 | 253.50000000000017 | 0.9174206283928278 | 0.4028687266699078 | 9.6447311508211713 |
Error: | 3039.500000000002 | 11 | 276.318181818182 | |||
Total: | 8283.833333333336 | 23 |