## Articles in the D3.js category

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.

Read more
The visualization illustrates a Bayesian two-sample t test

Read more
I've added more options to my NHST visualization

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

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

Read more
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?

Read more
Understand confidence intervals by using my new interactive visualization.

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

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

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

Read more