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The central and non-central distribution is displayed in a graph, while the output parameters are calculated in a separate grid. The distribution plot can be copied to clipboard or saved for later reference. In addition to this, you can view, save or print a log of every analysis you made. A probability calculator is also included, which you can use to view the result of any number of input mathematical and statistical expressions. The displayed result is set to the value of the last one you write, while between the expressions you can add comments to state your objective.

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We will not use your e-mail address for other purposes. We will not give your e-mail address to anyone else. You can withdraw your e-mail address from the mailing list at any time. Faul, F. Behavior Research Methods , 39 , Download PDF.

Behavior Research Methods , 41 , Fixed a bug in z tests: Generic z test: Analysis: Criterion: Compute alpha : The critical z was calculated incorrectly. Fixed a bug in t tests: Linear bivariate regression: One group, size of slope. Fixed a bug that could occur under very specific circumstances when transferring an effect size from the effect size drawer to the main window. Changed the behaviour of all tests based on the binomial distribution.

This change may lead to alpha values larger than the requested alpha values, but now we have the advantage that the upper and lower limits correspond to actual decision boundaries. Note, however, that the change affects the results only when N is very small. Improvements in the logistic regression module: 1 improved numerical stability in particular for lognormal distributed covariates ; 2 additional validity checks for input parameters this applies also to the poisson regression module ; 3 in sensitivity analyses the handling of cases in which the power does not increase monotonically with effect size is improved: an additional Actual power output field has been added; a deviation of this actual power value from the one requested on the input side indicates such cases; it is recommended that you check how the power depends on the effect size in the plot window.

Fixed a problem in the exact test of Proportions: Inequality, two independent groups uncontional. Fixed a problem in the sensitivity analysis of the logistic regression. The drawers now appear correctly after clicking on the Determine button. Fixed a problem in the test of equality of two variances. The problem did not occur when both sample sizes were identical. Added an options dialog to the repeated-measures ANOVA which allows a more flexible specification of effect sizes.



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