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
91
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
                                New GCSE Maths required formulae
                                Sarah Egan
                                GCSE Maths: Statistics & Probability
                                Andrea Leyden
                                Counting and Probability
                                Culan O'Meara
                                Teoría de Conteo
                                ISABELLA OSPINA SAENZ
                                Mathematics Prep for maths exam
                                Lulwah Elhariry
                                Probability
                                Dami Alvarez
                                Higher-order Cognition
                                Sneha Mittal
                                Probability
                                Ravindra Patidar