Learning a causal explanation for a phenomenon is satisfying. However, deciding what causes what is a very complicated issue. Anyone who has taken even a single statistics course would remember hearing the phrase "correlation does not mean causation." Why not? One of the ways of answering it says it is because the association between two... Continue Reading →
Art of Statistics by David Spiegelhalter, Chapter 1: Getting Things in Proportion: Categorical Data and Percentages
Data science provides powerful information that we can't have without it. The book starts out with a concrete example of that which illustrates how useful statistics can be in uncovering a truth. Two surgeons and ex-chief executive were found guilty of serious misconduct for performing a heart surgery for children in Bristol despite knowing that... Continue Reading →
Art of Statistics by David Spiegelhalter, Introduction
Data science is where you can't ask the question: "So do you use it in life?" That's probably the most common question math instructors get. But to a certain extent, no matter how complicated the mathematics gets, in a statistics class, students will not ask existential questions about what they learn in class. Maybe that's... Continue Reading →