Probability

Sample space

  • Describe possible outcome
  • Describe beliefs about likelihood of outcome

Probability Law

Axioms

Properties that follows from axioms

type of probabilities

Discrete probability

Continuous probability

Discussion about

Countable activity

Mathematical Subtleties

Interpretation of Probability

  • Description of beliefs
  • Betting Preference
    A better definition
  • Rules of consistent reasoning
  • used for predictions and decision
    image

definition- Set of the possible outcome
List must be

  • Mutually exclusive
  • collectively exhaustive
  • At the right granularity

Event - a subset of the sample space

  • Probability is assigned to the Event
    Axioms
  • Non-negativity
  • Normalization
  • (Finite) Additivity

Probability Calculation steps

  • Specify the Sample space
  • Specify a probability Law
  • Identify the event of interest
  • Calculate ..

Examples

Discrete Sample space

  • tetrahedra cube

Continuous Probability Space

  • Throwing Dart

Countable additivity

  • Discrete but infinite sample space
  • an infinite sequence of disjoint events
  • Additivity holds only for countable sequences of event

The unit square is not countable
(its events cannot be arranged into a sequence )