Confidence

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When we wrote Quantifying the User Experience, we put confidence intervals before tests of statistical significance. We generally find fluency with confidence intervals to be easier to achieve and of more value than with formal hypothesis testing. We also teach confidence intervals in our workshops on statistical methods. Most people, even non-researchers, have been exposed to the concept of margins of error—political polls include them.

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The Net Promoter Score (NPS) is a widely used metric, but it can be tricky to work with statistically. One of the first statistical steps we recommend that researchers take is to add confidence intervals around their metrics. Confidence intervals provide a good visualization of how precise estimates from samples are. They are particularly helpful in longitudinal research to help differentiate the inevitable fluctuations in

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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 95% confident that between 74% and 97% of all real-world

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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 much emotion.  Bewilderment, resentment, confusion and even arrogance (for those

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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 women  and this is especially the case when men do

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