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This Concept Map, created with IHMC CmapTools, has information related to: Chapter 3 - P Richardson, CONDITIONAL PROBABILITY AND CONDITIONAL EXPECTATION takes on cases that are Continuous, Discrete for any two events <math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> <mtext> E and F, the condit Pr of E
given F is defined as

P(E|F) = P(EF)/P(F) </mtext> </mrow> </math>, CONDITIONAL PROBABILITY AND CONDITIONAL EXPECTATION useful because you can calculate Pr and expectations when some partial info is available, CONDITIONAL PROBABILITY AND CONDITIONAL EXPECTATION takes on cases that are Discrete, Discrete and Continuous