6.041 Lecture Notes - Probability Axioms, Sample Space, Negative Number

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Lecture notes from mit departments of electrical engineering and computer science. Pro b ab ility mo d els an d axio ms. Objective: introduction to the general framework of probability models, multiple discrete or continuous random variables. Definition: the sample space =list (set) of possible outcomes . Properties: mutuality exclusive, collectively exhaustive and at the "right" granularity. Family cares if the person is "ill", and public health service cares if the test is "positive or. It makes sense to model them as two discreet events: disease= ill/test = negative, disease= ill/=test positive. They are typically well named but contain very little information. An event that is too fine grained isn"t useful in and of itself, you have to combine it with lots of other events before you can decide what to do next. Roll of a die, sample space ( ) is [1, 2, 3, 4, 5, 6], discrete sample spaces. Example: representation of two rolls of a hexahedral die.

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