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Analisi delle variabili


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Analisi delle variabili

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Introduction to between-subjects analysis of variance - English
URL: http://davidmlane.com/hyperstat/B77279.html

Analysis of variance (ANOVA) is used to test hypotheses about differences between two or more means. The t-test based on the standard error of the difference between two means can only be used to test differences between two means.

[ eng ]


Analysis of variance in Excel - English
URL: http://www.analyse-it.com/analysis-of-variance_y.htm

Analyse-it! statistical analysis add-in software for Microsoft Excel. Statistics include multiple linear regression analysis, anova, chi-square & many more. Download a free 30-day trial.

[ eng ]


StRD Analysis of Variance (ANOVA) Datasets - English
URL: http://www.itl.nist.gov/div898/strd/anova/anova.html

We provide datasets with certified values for key statistics to assess the accuracy of ANOVA calculations in statistical software. The computational inacurracy may come from three sources for our datasets: the truncation error, the cancellation error, and the accumulation error.

[ eng ]


Macnaughton ANOVA SS - English
URL: http://www.matstat.com/ss/

Contains links to material by Donald Macnaughton about computing sums of squares in unbalanced analysis of variance.

[ eng ]


Analysis of Variance - English
URL: http://faculty.vassar.edu/lowry/vsanova.html

One-Way ANOVA for up to five samples. The design can be either for independent samples or correlated samples (repeated measures or randomized blocks). This page will also perform pair-wise comparisons of sample means via the Tukey HSD test. Two-Way Factorial ANOVA for Independent Samples, for up to four rows by four columns. This page will also calculate the critical values of Tukey's HSD for purposes of post-ANOVA comparisons.

[ eng ]


MathSource: Analysis of Variance - English
URL: http://www.mathsource.com/cgi-bin/MathSource/Applications/Statistics/0208-943

This notebook provides the functions to carry out an analysis of variance following the procedures of the general linear model. Up to 7 factors may be included in the design, but this restriction can be easily increased. Input data may have observations grouped within cells or ungrouped. Each cell must have at least one observation, but cell frequencies need not be equal. The user is given the option to remove interaction terms, plot 2D and 3D interactions, and to carry out user defined contrasts on the main effects. A general sum of squares table, and a table for the terms of the model are provided with F tests of significance.

[ eng ]


ANOVA: ANalysis Of VAriance between groups - English
URL: http://www.physics.csbsju.edu/stats/anova.html

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