Discrete Probability Distributions

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Statistics Mapa Mental sobre Discrete Probability Distributions, creado por alistairewart el 20/10/2013.
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Resumen del Recurso

Discrete Probability Distributions
  1. Binomial Distribution
    1. Example

      Nota:

      • 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

                Nota:

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

                    Nota:

                    • 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

                      Nota:

                      • .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

                        Nota:

                        • (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

                                    Nota:

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