Note: The Fit Group menu appears if you have specified multiple Y or X variables. Menu options allow you to arrange reports or order them by RSquare. See Fit Group Options in the Fitting Linear Models book for more information.
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Fits means for each group and performs a oneway analysis of variance to test if there are differences among the means. See Means/Anova and Means/Anova/Pooled t.
If the X factor has two levels, the menu option changes to Means/Anova/Pooled t.
The plot now contains mean lines, error bars, and standard deviation lines. For a brief description of these elements, see Display Options. For more details about these elements, see Mean Lines, Error Bars, and Standard Deviation Lines.
Provides five commands for performing Analysis of Means (ANOM) procedures. There are commands for comparing means, variances, and ranges. See Analysis of Means Methods.
Performs four tests for equality of group variances. Also gives the Welch test, which is an ANOVA test for comparing means when the variances within groups are not equal. See Unequal Variances.
Provides calculations of statistical power and other details about a given hypothesis test. See Power.
The Power Details window and reports also appear within the Fit Model platform. For further discussion and examples of power calculations, see Power Calculations in the Fitting Linear Models book.
Set α Level
You can select an option from the most common alpha levels or specify any level with the Other selection. Changing the alpha level results in the following actions:
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Plot Actual by Quantile generates a quantile plot with the response variable on the yaxis and quantiles on the xaxis. The plot shows quantiles computed within each level of the categorical X factor.

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Line of Fit draws straight diagonal reference lines on the plot for each level of the X variable. This option is available only once you have created a plot (Actual by Quantile or Quantile by Actual).

Plots the cumulative distribution function for all of the groups in the Oneway report. See CDF Plot.
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Save Residuals saves values computed as the response variable minus the mean of the response variable within each level of the factor variable.

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Save Standardized saves standardized values of the response variable computed within each level of the factor variable. This is the centered response divided by the standard deviation within each level.

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Save Normal Quantiles saves normal quantile values computed within each level of the categorical factor variable.

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Save Predicted saves the predicted mean of the response variable for each level of the factor variable.

See Redo Menusand Save Script Menusin the Using JMP book for more information about the following options: