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

a p-value of 0.07, so you didn’t reject the null hypothesis. 05, so you didn’t reject the null hypothesis. But then you start to wonder, … Read More

Somewhere along the line you’ll run some sort of analysis and get a significant result supporting your hypothesis, everything’s looking perfect with your data. It’s … Read More

Statistical significance isn’t a light switch. Just because your p-value dips below 0.05 doesn’t mean your result is true, nor does it mean that your … Read More

So now you’ve got it, the F statistic. You see this number in your spreadsheet and it’s bold. But what does it mean? That’s when … Read More