One accurate measurement is worth a thousand expert opinions.
—Grace Hopper [1]
In Chapter 2, we learned about four basic analytical data types. Quantitative data – interval and ratio – are among the most common types and are often the most problematic due to the great variety of measurement units and size ranges. Units vary by knowledge domain, usage conventions, national and historical origins, and formal or organizational standards. Sizes range from the infinitesimal to the cosmic in fields like economics, computer science, quantum physics, and astronomy. Ensuring good quantitative ...
