Зміст

# F-test

Calculates the F-Test of two data samples.

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#### From the menu bar:

Choose Data - Statistics - F-test

#### From the tabbed interface:

Choose Data - Statistics - F-test.

On the Data menu of the Data tab, choose Statistics - F-test.

A F-test is any statistical test based on the F-distribution under the null hypothesis.

For more information on F-tests, refer to the corresponding Wikipedia article.

## Data

Variable 1 range: The reference of the range of the first data series to analyze.

Variable 2 range: The reference of the range of the second data series to analyze.

Results to: The reference of the top left cell of the range where the test will be displayed.

#### Grouped By

Select whether the input data has columns or rows layout.

#### Example

The following table has two data sets.

| A | B
--- | --- | ---
1 | 28 | 19
2 | 26 | 13
3 | 31 | 12
4 | 23 | 5
5 | 20 | 34
6 | 27 | 31
7 | 28 | 31
8 | 14 | 12
9 | 4 | 24
10 | 0 | 23
11 | 2 | 19
12 | 8 | 10
13 | 9 | 33

## Results for F-Test:

The following table shows the F-Test for the data series above:

Ftest |  |
Alpha | 0.05 |
| Variable 1 | Variable 2
Mean | 16.9230769231 | 20.4615384615
Variance | 125.0769230769 | 94.4358974359
Observations | 13 | 13
df | 12 | 12
F | 1.3244637524 |
P (F<=f) right-tail | 0.3170614146 |
F Critical right-tail | 2.6866371125 |
P (F<=f) left-tail | 0.6829385854 |
F Critical left-tail | 0.3722125312 |
P two-tail | 0.6341228293 |
F Critical two-tail | 0.3051313549 | 3.277277094

Пов'язані теми

Sampling

Descriptive Statistics

Analysis of Variance (ANOVA)

Correlation

Covariance

Exponential Smoothing

Moving Average

Regression Analysis

Paired t-test

F-test

Z-test

Chi-square test

Fourier Analysis

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