> 1. (...) Go google how to do basic significance calculations in, say, Excel. The first paragraph of the resulting articles will dive into t-test and twin-tale

> 1. (...) Go google how to do basic significance calculations in, say, Excel. The first paragraph of the resulting articles will dive into t-test and twin-tales and P-values and on down the lines. Understanding significance calculations and performing them in Excel are completely different things, and it's perfectly reasonable for a learning resource to cover one of them but not the other. Software developers, the primary target audience of this website, should know this as “separation of concerns”. > 2. (...) Software needs to bridge the gap between users' intent and their ability to do the analysis. All statistical software can do for you is perform calculations. The meaning of the results or even the calculations themselves is completely up to you. You can even decide it's meaningless! > 3. (...) Your c-suite doesn't care about that: it cares about the so-what. This is exactly the problem. People want to make the right decisions, but they don't want to take the trouble to understand how reality's complexity affects the outcomes of these decisions.