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

13 views5 pages

Document Summary

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.

Get access

Grade+20% off
$8 USD/m$10 USD/m
Billed $96 USD annually
Grade+
Homework Help
Study Guides
Textbook Solutions
Class Notes
Textbook Notes
Booster Class
40 Verified Answers
Class+
$8 USD/m
Billed $96 USD annually
Class+
Homework Help
Study Guides
Textbook Solutions
Class Notes
Textbook Notes
Booster Class
30 Verified Answers

Related Documents

Related Questions