## Articles with the D3.js tag

This visualization illustrates the appropriate tests to use when your research hypothesis is that two treatments are equally effective, or that a new treatment is no worse than the current gold standard.

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The visualization illustrates a Bayesian two-sample t test

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I've added more options to my NHST visualization

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My p-curve visualization has been updated with the option to log the x-axis.

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This visualization shows how the t-distribution and the Gaussian (normal) distribution approaches each other when sample size increases.

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Here's a new visualization that shows the p-curve distribution when comparing the means of two independent samples for varying effects. Many know that the distribution is uniform when the null is true, but what about when it isn't?

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Understand confidence intervals by using my new interactive visualization.

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This new visualization is an interactive display of the correlation between two variables.

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This new visualization is an interactive display of classical null hypothesis significance testing and statistical power.

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I have created a new visualization in D3. The purpose is to aid in the interpretation of Cohen’s d.

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