Every estimate we make from a sample of customer data contains error. Confidence intervals tell us how much faith we can have in our estimates. Confidence intervals quantify the most likely range for the unknown value we’re estimating. For example, if we observe 27 out of 30 users (90%) completing a task, we can be
Statistically significant. It’s a phrase that’s packed with both meaning, and syllables. It’s hard to say and harder to understand. Yet it’s one of the most common phrases heard when dealing with quantitative methods. While the phrase statistically significant represents the result of a rational exercise with numbers, it has a way of evoking as
Are you sure you did that right? When we put the effort into making a purchase online, finding information or attempting tasks in software, we want to know we’re doing things right. Having confidence in our actions and the outcomes is an important part of the user experience. That’s why we ask users how confident
There are some interesting known differences between men and women in the psychological literature. For example, women tend to be better judges of emotion when looking at faces for just 0.2 of a second[pdf]! And across many measures of ability, while both men and women tend to exhibit overconfidence, men are generally more overconfident than
