Multiple Sample Tests

Analysis of Variance

ANOVA: Single Factor Tool

Use this tool to perform a single factor analysis of the variances of given variables. The variables are specified by the Input Range: entry. The given range can be grouped into the variables either by columns, by rows or by areas. The Alpha: entry specifies the significance level which is by default 5%.

If the first row or first column of the given range, or the first field of each area contains labels, select the Labels option. The names of the variables will be included in the output table.

The results of this analysis of variance are presented in a standard ANOVA table. The F critical value is the largest value of F that is statistically significant using the given significance level (Alpha).

This tool also calculates the count, sum, average, and the variance of each variable.

1-factor ANOVA Dialog and Example Data

An image of a multilevel single factor ANOVA
              analysis.

Using the single factor ANOVA

See 1-factor ANOVA Dialog and Example Data for an example of a completed dialog and Output From a 1-factor ANOVA for the corresponding output.

Output From a 1-factor ANOVA

An image of the output from a multilevel single
              factor ANOVA analysis.

ANOVA: Two-Factor Tool

Gnumeric can perform two factor fixed effects ANOVAs with and without replication. The same dialog is used and the appropriate tool is selected depending on whether the number of rows per sample is 1 or larger than 1.

ANOVA: Two-Factor Without Replication Tool

If the number of rows per sample is given as 1, Gnumeric performs a two factor fixed effects ANOVA without replication. Each column of the input range is interpreted as a level of the first factor while each row is interpreted as a level of the second factor.

The first row and column of the range may contain labels for these levels. In this case the Labels option should be selected.

The Alpha: entry specifies the significance level which is by default 5%.

Using the 2-factor ANOVA Without Replication Tool

See 2-factor ANOVA Without Replication Dialog for an example of a completed dialog and Output From a 2-factor ANOVA Without Replication for the corresponding output.

2-factor ANOVA Without Replication Dialog
An image of a two factor ANOVA without
              replication analysis.
Output From a 2-factor ANOVA Without Replication
An image of the output from a two factor ANOVA without
              replication analysis.

ANOVA: Two-Factor With Replication Tool

If the number of rows per sample is larger than 1, Gnumeric performs a two factor fixed effects ANOVA with replication. Each column of the input range is interpreted as a level of the first factor while groups of rows (the number of rows in each group given by the number of rows per sample value) are interpreted as levels of the second factor.

The first row and column of the range may contain labels for these levels. In this case the Labels option should be selected.

The Alpha: entry specifies the significance level which is by default 5%.

See 2-factor ANOVA With Replication Dialog for an example of a completed dialog and Output From a 2-factor ANOVA With Replication for the corresponding output.

2-factor ANOVA With Replication Dialog
An image of a two factor ANOVA with replication
              analysis.
Output From a 2-factor ANOVA With Replication
An image of the output from a two factor ANOVA
              with replication analysis.

Gnumeric will estimate missing values for each level combination as the mean of the existing values in that combination. The degrees of freedom are adjusted appropriately.

Tests for a Contingency Table

Test of Homogeneity

Test of Independence