Difference between revisions of "Manuals/calci/ANOVATWOFACTORWITHREPLICATION"
Jump to navigation
Jump to search
(2 intermediate revisions by 2 users not shown) | |||
Line 1: | Line 1: | ||
− | =ANOVATWOFACTORWITHREPLICATION(Array, Alpha, | + | <div style="font-size:30px">'''ANOVATWOFACTORWITHREPLICATION (Array,Alpha,NumberofSamplesPerRow,NewTableFlag) '''</div><br/> |
*where, <math>Array</math> is an array of numbers or reference to cells containing array | *where, <math>Array</math> is an array of numbers or reference to cells containing array | ||
Line 5: | Line 5: | ||
*<math>NumberOfSamples</math> represents the number of samples in an array | *<math>NumberOfSamples</math> represents the number of samples in an array | ||
*<math>NewTableFlag</math> that decides to display the output in the same worksheet or a new space cube. | *<math>NewTableFlag</math> that decides to display the output in the same worksheet or a new space cube. | ||
− | + | **ANOVATWOFACTORWITHREPLICATION(), performs an analysis of variances between more more data sets.This should be used when you have more than one sample from each data set. | |
− | ANOVATWOFACTORWITHREPLICATION() performs an analysis of variances between | ||
== Description == | == Description == | ||
Line 162: | Line 161: | ||
| 23 | | 23 | ||
|} | |} | ||
+ | |||
+ | ==Related Videos== | ||
+ | |||
+ | {{#ev:youtube|j9ZPMlVHJVs|280|center|ANOVA}} | ||
== See Also == | == See Also == | ||
Line 172: | Line 175: | ||
*[http://en.wikipedia.org/wiki/Analysis_of_variance ANOVA] | *[http://en.wikipedia.org/wiki/Analysis_of_variance ANOVA] | ||
*[http://en.wikipedia.org/wiki/Analysis_of_variance#ANOVA_for_multiple_factors Anova Multiple Factors] | *[http://en.wikipedia.org/wiki/Analysis_of_variance#ANOVA_for_multiple_factors Anova Multiple Factors] | ||
+ | |||
+ | |||
+ | |||
+ | *[[Z_API_Functions | List of Main Z Functions]] | ||
+ | |||
+ | *[[ Z3 | Z3 home ]] |
Latest revision as of 15:56, 17 August 2018
ANOVATWOFACTORWITHREPLICATION (Array,Alpha,NumberofSamplesPerRow,NewTableFlag)
- where, is an array of numbers or reference to cells containing array
- represents a constant value between '0' and '1'
- represents the number of samples in an array
- that decides to display the output in the same worksheet or a new space cube.
- ANOVATWOFACTORWITHREPLICATION(), performs an analysis of variances between more more data sets.This should be used when you have more than one sample from each data set.
Description
ANOVATWOFACTORWITHREPLICATION(Array, Alpha, NumberOfSamples, 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.
- Data in an array can be divided in one or more groups. That is represented by .
- 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 ANOVATWOFACTORWITHREPLICATION() 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 | |
=ANOVATWOFACTORWITHREPLICATION(A1:B12, 0.01, 2, TRUE) returns the result in new Zspace cube.
Groups | Count | Sum | Average | Variance |
---|---|---|---|---|
Array1 | 12 | 152 | 12.666666666666666 | 369.69696969696975 |
Array2 | 12 | 230 | 19.166666666666668 | 360.3333333333333 |
Source of Variation | Sum of Squares | Degree of Freedom | Mean Square | F-Value | Probability | F Critical |
---|---|---|---|---|---|---|
Sample: | 3270.333333333334 | 5 | 654.0666666666668 | 2.8081574239713785 | 0.06629115945265437 | 5.064312767657053 |
Columns: | 253.50000000000017 | 1 | 253.50000000000017 | 1.0883720930232565 | 0.36437615127626016 | 9.330229140735954 |
Interaction: | 1965.0000000000018 | 5 | 393.00000000000034 | 1.6872987477638656 | 0.2120282015971952 | 5.0650509516310676 |
Within: | 2795 | 12 | 232.91666666666666 | |||
Total: | 8283.833333333336 | 23 |
Related Videos
See Also
References