Difference between revisions of "RU/kb/00000131"
From Wiki
Jump to navigationJump to search (section begin=title) |
(SecTitle in crosslink section) |
||
| Line 24: | Line 24: | ||
{{RUseealso| | {{RUseealso| | ||
| − | * | + | * {{SecTitle|RU/kb/00000130}} |
* [[Documentation/How_Tos/Using Arrays|Array formulas]] | * [[Documentation/How_Tos/Using Arrays|Array formulas]] | ||
* [[Documentation/How_Tos/Calc: Statistical functions|Statistical functions]] | * [[Documentation/How_Tos/Calc: Statistical functions|Statistical functions]] | ||
Revision as of 20:21, 29 September 2010
FTEST
Возвращает результат F-теста (двусторонний уровень значимости).
Syntax:
FTEST(data1; data2)
- data1 and data2 are ranges or arrays (possibly of different size) containing numbers, on which the F-test is performed. The F-test calculates the likelihood that two samples have the same variance.
- In effect, the sample variances of data1 and data2 are calculated. data1 and data2 are re-ordered if necessary so that data1 has the larger variance (σ1) and data2 the smaller (σ2), and an F_value is calculated as σ1/σ2. The result returned by FTEST is 2*FDIST(F_value; COUNT(data1)-1; COUNT(data2)-1). This is the two-tailed probability that the variances in data1 and data2 are not significantly different. (The internal algorithms used by Calc are more sophisticated than this).
- Advanced topic:
- The parameters data1 and data2 are always evaluated as array formulas.
Example:
FTEST({9;8;6;8}; {5;6;7})
- возвращает приблизительное значение 0.82. The probability that the variances of these two samples are not significantly different is about 82%. Note: a real world example would need more data than this.
Issues:
- Earlier versions of Excel and the ODFF draft specification incorrectly claimed this was a one-tailed test.
