Difference between revisions of "RU/kb/00000131"
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+ | {{DISPLAYTITLE:База Знаний: {{OOoC|1}}. Функция FTEST}} | ||
+ | [[RU/kb/examples_of_calculations|База Знаний: {{OOoC|1}}. Примеры вычислений]] | ||
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* Earlier versions of Excel and the ODFF draft specification incorrectly claimed this was a one-tailed test. | * Earlier versions of Excel and the ODFF draft specification incorrectly claimed this was a one-tailed test. | ||
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* [[RU/kb/00000130|{{OOoC|1}}. Функция FDIST]] | * [[RU/kb/00000130|{{OOoC|1}}. Функция FDIST]] | ||
* [[Documentation/How_Tos/Using Arrays|Array formulas]] | * [[Documentation/How_Tos/Using Arrays|Array formulas]] | ||
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* [[Documentation/How_Tos/Calc: Functions listed by category|Functions listed by category]]}} | * [[Documentation/How_Tos/Calc: Functions listed by category|Functions listed by category]]}} | ||
− | + | {{RU/documentation/signyear||Don_alessandro|2009}} | |
+ | {{KbCalcBottom}} |
Revision as of 19:26, 23 August 2010
База Знаний: Calc. Примеры вычислений
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.