lecture notes from mit probability 1

September 2018 1 minute read

this is my notes from MITx: 6.431x Probability - The Science of Uncertainty and Data

Lec. 1: Probability models and axioms

samples space

  1. describe possible outcome

    sets of possibile outcome

  2. describe beliefs about likelihood of outcomes

probility axioms

probility is assigned to events

  1. nonegative: P(A) > 0
  2. normalization: $P(\Omega)>0$
  3. additivity:if $P(A) \cap P(B)= \varnothing ;then P(A \cup B)=P(A)+P(B)$

some simple consequence of axioms