Cálculo Diferencial - Module 1. Probability and statistics.

Beschreibung

Modulo 1, mini proyecto.
Alejandro Baruch
Mindmap von Alejandro Baruch, aktualisiert more than 1 year ago
Alejandro Baruch
Erstellt von Alejandro Baruch vor fast 10 Jahre
44
1

Zusammenfassung der Ressource

Cálculo Diferencial - Module 1. Probability and statistics.
  1. Alejandro Baruch Saucedo Esparza - A01400284
    1. Lic. Saul Garcia
    2. Probability and statistics
      1. 1.1Probability Basic Concepts
        1. Deterministic Phenomenon: It can be predicted exactly on the basis of obtainable information
          1. Random Phenomenon: It fluctuates in such a way that its value cannot be predicted exactly with obtainable information
            1. Probability
              1. Basic Concepts
                1. Outcomes
                  1. Possible Results of the experiment
                  2. Sample Space
                    1. Set of all possible answers
                    2. event
                      1. Any subset of the sample space
                      2. Experiments
                        1. Observation or measurement of a random phenomenon
                      3. Odds
                        1. Compare the number of favorable outcomes with number of unfavorable outcomes.
                          1. Ex: To get 1 in dais. 1 to 5 favorable outcomes, 5 to one unfavorable, 1/6 probabilities
                          2. Probability Formulas
                            1. Theoretical Formula
                              1. Empirical Formula
                              2. Converting between probability and odds Let E be an event If P(E)= a/b, then the odds in favor of E is (b-a) If the odds in favor of E are a to b, then P(E)=a/(a+b)
                              3. Properties of Probability
                                1. Let E be an event within the sample space (S). That is E a subset of S then the following properties hold
                                  1. Probability of value
                                    1. Impossible event
                                      1. Certain event
                              4. Events Involving "NOT" and "OR"
                                1. Probability of the complement
                                  1. Probability that on event E will not occur (Not E) is equal to 1 minus the probability that will occur. P(not E)=1-P(E)
                                  2. Addition rule of probability
                                    1. If A and B are any two events then: P(A or B)=P(A) + P(B) - P(A and B). If A and B are mutually Exclusive then: P(A or B)= P(A)+P(B)
                                      1. Two events are mutually exclusive if they have no outcomes in common(can´t occur simultaneously)
                                  3. Events Involving and
                                    1. The probability of event B, Computed on the assumption that event A has happened, is called the conditional probability of B given A and is denoted P(A/B)
                                      1. Conditional Probability formula (of B given A)
                                        1. Multiplication rule of probability
                                          1. Independent events
                                            1. Two events are called independent events if the knowledge about the occurrence of one of them has no effect on the probability of the other one, that is, if P(B/A)=P(B), or equivalently, P(A/B)=P(A). (applies in all cases)
                                              1. P(A and B)=P(A)P(B)
                                            2. Any two events
                                              1. P(A and B)=P(A)P(B/A)
                                          2. Venn Diagrams
                                            1. Let A and B be any sets, with U the universal set.
                                              1. Complement
                                                1. The Complement of A, written A´, is:
                                                2. Intersection
                                                  1. The intersection of A and B is
                                                  2. Union
                                                    1. The union of A and B is
                                                    2. Difference
                                                      1. The difference of A and B is
                                                      2. Cartesian product
                                                        1. The cartesian product of A and B is
                                                  Zusammenfassung anzeigen Zusammenfassung ausblenden

                                                  ähnlicher Inhalt

                                                  American Dream
                                                  luisepeters
                                                  2D alte Klausurfragen
                                                  Anni T-Pünktchen
                                                  Zellorganellen
                                                  Sarah K.
                                                  C1 Indirekte Rede
                                                  Anna Kania
                                                  KPOL-Fragen (sofort überprüfbar)
                                                  Tim Schröder
                                                  Prüfungsthemen APSY EURO-FH B.Sc.
                                                  ??? ???
                                                  MS-1.3 Folienpaket 2
                                                  Markus Voßmann
                                                  Vetie Spezielle Pathologie 2020
                                                  Svea Schill
                                                  Vetie - Lebensmittelkunde 2019
                                                  Valerie Nymphe
                                                  Vetie Fleisch 2019/2020 (Matrikel 14)
                                                  Maite J