Probability Theory

Description

V1
Lewis Warne
Mind Map by Lewis Warne, updated more than 1 year ago
Lewis Warne
Created by Lewis Warne over 6 years ago
92
1

Resource summary

Probability Theory
  1. Probability Space

    Annotations:

    • ( \(\Omega\) , \(\mathcal{F}\) , P )
    1. Sigma-Field F

      Annotations:

      • \(\sigma\) - field
      1. 3 properties
        1. closed under compliments

          Annotations:

          • \( if A \in \mathcal{F} \) then  \(A^c \in \mathcal{F} \)
          1. closed under unions
            1. Contains Null

              Annotations:

              •  \( \emptyset  \in \mathcal{F}  \) 
          2. Probability Set

            Annotations:

            • \(\Omega\)
            1. set of all possible outcomes
            2. Probability Measure

              Annotations:

              • P on ( \(\Omega\) , \(\mathcal{F}\) )
              1. two properties
                1. Between zero and one

                  Annotations:

                  • P(null set) = 0, P(solution set) = 1
                  1. Identity
                    1. if An is collection of disjoint members of F, sum of proabability is sum of untion
                      1. Given Disjoint events, Sum of probability of each events = Probability of Union
                  2. 4 Properties, Basic Prob Math works
                    1. Prob of compliments add up to 1

                      Annotations:

                      • \( P(A^c) = 1 - P(A) \)
                      1. If B is super set of A then P(B) = P(A) + P( B\A) >= P(A)
                        1. P( A U B) = P(A) + P(B) - P( A intersect B)
                          1. Complex union math, proof by induction
                        2. Conditional Probability
                          1. Based on total number of events

                            Annotations:

                            • \( \frac{N(A \cap B}{N(B)} \)
                            1. P(A given B) = P(A intersection B) / P(B)
                              1. Lemma

                                Annotations:

                                • \( P(A) = P(A \mid B)P(B) + P(A \mid B^c)*P(B^c) \) Question, prove above
                              2. Independance
                                1. Def.

                                  Annotations:

                                  • \( P(A \cap B) = P(A)(B) \)
                                Show full summary Hide full summary

                                Similar

                                Maths Probability
                                Will Thorpe
                                Probability S1
                                Alice Kimpton
                                Maths Exponents and Logarithms
                                Will Thorpe
                                GCSE Maths: Statistics & Probability
                                Andrea Leyden
                                New GCSE Maths required formulae
                                Sarah Egan
                                Counting and Probability
                                Culan O'Meara
                                Teoría de Conteo
                                ISABELLA OSPINA SAENZ
                                Probability
                                Ravindra Patidar
                                Mathematics Prep for maths exam
                                Lulwah Elhariry
                                Probability
                                Dami Alvarez
                                Higher-order Cognition
                                Sneha Mittal