Handbook of Decision Analysis, 2nd Edition
by Gregory S. Parnell, Terry A. Bresnick, Eric R. Johnson, Steven N. Tani, Eric Specking
Appendix AProbability Theory
A reasonable probability is the only certainty
—E.W. Howe
A.1 Introduction
This appendix is not intended to be a comprehensive discourse on probability and statistics. For that, see (Anderson, 2020) or (Runger, 2010). Rather, we here present a number of key ideas from probability theory that every decision practitioner should know.
A.2 Distinctions and the Clairvoyance Test
A fundamental requirement for addressing the important uncertainties in a decision is to create distinctions that are both clear and useful. A distinction is a separation of the universe of possibilities (outcomes) into two or more subsets. By definition, these subsets will be mutually exclusive (i.e., a possibility cannot be in more than one subset) and collectively exhaustive (i.e., every possibility must be in a subset). An example of a distinction is whether or not a new product achieves high sales volume. This distinction ...
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