Representing Reality: What Makes Good Data • 5m 59s
What's the difference between accuracy and precision? They are not the same, and the difference is important. "Accurate" data gives an impression that closely matches the real thing it is measuring. "Precise" data is measured in a way that gives highly specific measures. For example, if you measure your height with a measuring tape that marks to the 100th of a centimeter, you will get a precise measure, but if use the tape wrong (for example, not starting the tape from the floor) your measure will be inaccurate. Data can be precise but totally inaccurate, and we often pay too much attention to precision and too little to accuracy.
Up Next in Representing Reality: What Makes Good Data
How well does your data match the reality of the the thing you're trying to measure? "Representative" data can be incredibly powerful, because it means your sample is a good match to the reality you are trying to understand. That allows you to analyze the data with a lot more confidence. Ask ques...
A Source for Comparison
We often prefer to have consistency in our data, but data without variation in crucial measures doesn't tell us anything. For example, if everyone in your office gets the same performance score (4 out of 5), the score will have no value in terms of how it explains actual work performance. In orde...