Discrete Probability Distributions

Descrição

Statistics Mapa Mental sobre Discrete Probability Distributions, criado por alistairewart em 20-10-2013.
alistairewart
Mapa Mental por alistairewart, atualizado more than 1 year ago
alistairewart
Criado por alistairewart mais de 10 anos atrás
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Resumo de Recurso

Discrete Probability Distributions
  1. Binomial Distribution
    1. Example

      Anotações:

      • Historical sales record that 40 percent of all customers who enter store make a purchase. What is the probability that two of the next three customers will make a purchase?
      1. how we know it's binomial
        1. 1) identical trials
          1. 2) TWO outcomes are possible in each trial
            1. 3) probability stays constant
              1. 4) all trial outcomes are independent
              2. Sample Outcome Space

                Anotações:

                • SSS    SSF SFS FSS FFS FSF SFF FFF
                1. We know there are 8
                2. Note
                  1. 1

                    Anotações:

                    • the 3 in this expression is the number of sample space out comes (ssf, sfs, and fss) that correspond to the EVENT "two of the next three customers make purchases.
                    1. 2

                      Anotações:

                      • .4 = p .6= q  is the probability that the customer does not make a purchase
                    2. Calculation
                  2. Definitions
                    1. trials
                      1. success and failure

                        Anotações:

                        • (p)= success (f) = failure
                        1. sample space outcomes
                        2. Formulas
                          1. number of ways to arrange x successes among n trials
                            1. Binomial Probability
                            2. Rules
                              1. Addition Rule
                                1. not mutually Exclusive
                                  1. Mutually Exclusive
                                  2. Compliment Rule

                                    Anotações:

                                    • If A is the event... A Compliment is the event in which it will NOT occur.
                                  3. Mean/ Variance/ SD

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