Statistics and ANOVA: Difference between revisions
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These tools are used for statistical analyses including things like analysis of variance (ANOVA). | These tools are used for statistical analyses including things like analysis of variance (ANOVA). | ||
: [[ | : [[Anova1w]] - One-way analysis of variance. | ||
: [[ | : [[Anova2w]] - Two-way analysis of variance. | ||
: [[ | : [[Chilimit]] - Chi-squared confidence limits from sum-of-squares residuals. | ||
: [[ | : [[Jmlimit]] - Confidence limits for Q residuals via Jackson-Mudholkar. | ||
: [[ | : [[Ftest]] - F test and inverse F test statistic. | ||
: [[ | : [[Ttestp]] - Evaluates t-distribution and its inverse. | ||
: [[ | : [[Percentile]] - Finds percentile point (similar to MEDIAN). | ||
=== Distribution Fitting Toolbox === | === Distribution Fitting Toolbox === | ||
There are also a significant number of statistical tools in the included [[Distribution Fitting Tools|Distribution Fitting Toolbox]]. | There are also a significant number of statistical tools in the included [[Distribution Fitting Tools|Distribution Fitting Toolbox]]. | ||
(Sub topic of [[Statistics|Statistics]]) | (Sub topic of [[Statistics|Statistics]]) |
Revision as of 08:00, 4 September 2008
These tools are used for statistical analyses including things like analysis of variance (ANOVA).
- Anova1w - One-way analysis of variance.
- Anova2w - Two-way analysis of variance.
- Chilimit - Chi-squared confidence limits from sum-of-squares residuals.
- Jmlimit - Confidence limits for Q residuals via Jackson-Mudholkar.
- Ftest - F test and inverse F test statistic.
- Ttestp - Evaluates t-distribution and its inverse.
- Percentile - Finds percentile point (similar to MEDIAN).
Distribution Fitting Toolbox
There are also a significant number of statistical tools in the included Distribution Fitting Toolbox.
(Sub topic of Statistics)