Adding confidence intervals to completion rates in usability tests will temper both excessive skepticism and overstated usability findings. Confidence intervals make testing more efficient by quickly revealing unusable tasks with very small samples. Examples are detailed and downloadable calculators are available. Are you Lacking Confidence? You just finished a usability test. You had
The Power of Z A common statistical way of standardizing data on one scale so a comparison can take place is using a z-score. The z-score is like a common yard stick for all types of data. Each z-score corresponds to a point in a normal distribution and as such is sometimes called a normal
Six Sigma History and Overview Six Sigma was started in manufacturing for processes that are duplicated thousands and millions of times in something like the placement of a spot weld on sheet metal on a power turbine and being able to predict the failure rate of that part’s weld. If you can measure and control
The benefit of using a z-score in usability metrics was explained in “What’s a Z-Score and why use it in Usability Testing?” this article discusses different ways of calculating a z-score. The short answer is: It depends on your data and what you’re looking for. If you’ve encountered the z-score in a statistics book you
