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If you’ve read political polling reports or articles on health studies, or been subjected to tech company’s A/B tests, then you know what an odds … Read More

ANOVA is done: You run the test and get a significant F statistic. Your peers are impressed, the p-value is tiny, and yet… does it … Read More

So you run an analysis of variance and it’s significant. Great! But you don’t know anything except that from that single test result. A small … Read More

Finally, after running the analysis, the p-value is looking good. Your experimental group did significantly better then the control. You’re excited to report this! A … Read More

OK, so we did our study. We recruited people into the study. We measured outcomes. We have two number that appear to be different. Is … Read More

This will allow you to interpret statistics propery. For instance, you may read that some new teaching method increased scores by 15 points. Sounds good! … Read More

You run an experiment and the p-value falls below some conventional threshold. Congratulations! Your results is statistically significant. Significance doesn’t tell you how big the … Read More

With a combination of glee and fear you fire off the new checkout button. Traffic flows. Launch is live. And then… nothing. There is no … Read More

When study results aren’t quite statistically significant… Say your p-value was 0.06; power analysis can help you make sense off them. Maybe you had a … Read More