Statistics and ANOVA: Difference between revisions

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:[[anova1w]] - One-way analysis of variance.
These tools are used for statistical analyses including things like analysis of variance (ANOVA).
:[[anova2w]] - Two-way analysis of variance.
 
:[[chilimit]] - Chi-squared confidence limits from sum-of-squares residuals.
: [[anova1w]] - One-way analysis of variance.
:[[jmlimit]] - Confidence limits for Q residuals via Jackson-Mudholkar.
: [[anova2w]] - Two-way analysis of variance.
:[[ftest]] - F test and inverse F test statistic.
: [[chilimit]] - Chi-squared confidence limits from sum-of-squares residuals.
:[[ttestp]] - Evaluates t-distribution and its inverse.
: [[jmlimit]] - Confidence limits for Q residuals via Jackson-Mudholkar.
:[[percentile]] - Finds percentile point (similar to MEDIAN).
: [[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 our [[Distribution Fitting Tools|Distribution Fitting Toolbox]].
 
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(Sub topic of [[Statistics|Statistics]])
(Sub topic of [[Statistics|Statistics]])

Revision as of 07:57, 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 our Distribution Fitting Toolbox.


(Sub topic of Statistics)