Difference between revisions of "Manuals/calci/FTESTANALYSIS"
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*TRUE is indicating the result will display in new worksheet.Suppose we are omitted the lv value it will consider the value as FALSE. | *TRUE is indicating the result will display in new worksheet.Suppose we are omitted the lv value it will consider the value as FALSE. | ||
*The F statistic of this function calculated by: | *The F statistic of this function calculated by: | ||
− | <math>\frac {Sx^2}{Sy^2}</math> has an F-distribution with | + | <math>\frac {Sx^2}{Sy^2}</math> has an F-distribution with n−1 and m−1 degrees of freedom. |
*Also <math>Sx^2 </math> is the sample variance of first set of values. | *Also <math>Sx^2 </math> is the sample variance of first set of values. | ||
*And <math>Sy^2 </math> is the sample variance of second set of values. | *And <math>Sy^2 </math> is the sample variance of second set of values. |
Revision as of 15:50, 26 February 2018
FTESTANALYSIS(ar1,ar2,alpha,newtableflag)
- and are array of data.
- is the significance level.
- is the logical value.
Description
- This function gives the analysis of variance.
- This statistics used to determine the significant difference of three or more variables or multivariate collected from experimental
research.
- So this analysis is depending on the hypothesis.
- The hypotheses for this test are
(null hypothesis, variances are equal) (alternative hypothesis, variances are not equal)
- For example, the comparison of SCORES across GROUPS,where there are two groups.
- The purpose is to determine if the mean SCORE on a test is different for the two groups tested (i.e., control and treatment groups)
- In FTESTANALYSIS(ar1,ar2,alpha,newtableflag) where is the data of first array, is the data of second array.
- is the significance level which ranges from 0 to 1.
- is the logical value like TRUE or FALSE.
- TRUE is indicating the result will display in new worksheet.Suppose we are omitted the lv value it will consider the value as FALSE.
- The F statistic of this function calculated by:
has an F-distribution with n−1 and m−1 degrees of freedom.
- Also is the sample variance of first set of values.
- And is the sample variance of second set of values.
- If the f-value from the test is higher than the f-critical value then the null hypothesis should be rejected and the variances are unequal.
- So the following cases will occur:
- If the variances are assumed to NOT be equal, proceed with the t-test that assumes non-equal variances.
- If the variances are assumed to be equal, proceed with the t-test that assumes equal variances.
- In this function the array may be any numbers, names, or references that contains numbers.
- values are not considered if the array contains any text, logical values or empty cells.
When the or is less than 2 or the variance of the array value is zero, then this function will return the result as error.
ZOS
- The syntax is to use this function in ZOS is
- and are array of data.
- is the significance level.
- is the logical value.
- For e.g.,FTESTANALYSIS([17,22,26,31,49],[50,47,45,13,24],0.4,true)
- FTESTANALYSIS([24..30],[45..51],0.4,true)
Examples
1.
A | B | |
---|---|---|
1 | 15 | 21 |
2 | 27 | 12 |
3 | 19 | 30 |
4 | 32 | 11 |
=FTESTANALYSIS(A1:A4,B1:B4,0.5,TRUE)
Variable1 | Variable2 | |
---|---|---|
Mean | 23.25 | 18.5 |
Variance | 58.916666666666664 | 79 |
Observations | 4 | 4 |
Degree Of Freedom | 3 | 3 |
F-Value | 0.7457805907172995 | |
P(F<=f) one-tail | 0.407624533735915 | |
F Critical one-tail | 1 |
2.
A | B | |
---|---|---|
1 | 5 | 10 |
2 | 8 | 20 |
3 | 12 | 30 |
4 | 45 | 40 |
5 | 23 | 50 |
=FTEST(A1:A5,B1:B5,0.30,false)
Variable1 | Variable2 | |
---|---|---|
Mean | 18.6 | 30 |
Variance | 264.29999999999995 | 250 |
Observations | 5 | 5 |
Degree Of Freedom | 4 | 4 |
F-Value | 1.0572 | |
P(F<=f) one-tail | 0.4791517866106137 | |
F Critical one-tail | 1.7528541706121352 |
Related Videos
See Also
References