Statistics and ANOVA: Difference between revisions
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: [[Anova1w]] - One-way analysis of variance. | : [[Anova1w]] - One-way analysis of variance. | ||
: [[Anova2w]] - Two-way analysis of variance. | : [[Anova2w]] - Two-way analysis of variance. | ||
: [[anovadoe]] - Perform ANOVA for 2^k factorial model X, Y data. | |||
: [[Chilimit]] - Chi-squared confidence limits from sum-of-squares residuals. | : [[Chilimit]] - Chi-squared confidence limits from sum-of-squares residuals. | ||
: [[Jmlimit]] - Confidence limits for Q residuals via Jackson-Mudholkar. | : [[Jmlimit]] - Confidence limits for Q residuals via Jackson-Mudholkar. | ||
Revision as of 13:06, 31 October 2011
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.
- anovadoe - Perform ANOVA for 2^k factorial model X, Y data.
- 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)