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Sin título

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  1. 1Probabilistic ExperimentA situation where more than one thing can happen and the outcome is potentially uncertain
  2. 2OutcomeThe result of an experiment or other situation involving uncertainty
  3. 3Sample SpaceThe set of all possible outcomes of a probability experiment. An exhaustive list of all the possible outcomes of an experiment, presented by only one point in the sample space
  4. 4EventAny collection of outcomes of an experiment. Formally any subset of the sample space is an event to which a probability is assigned
  5. 5Elementary / Simple EventAny event which consists of a single outcome in the sample space. The finest possible partition of sample space. In a die toss experiment the elementary events are 1,2,3,4,5 and 6
  6. 6Compound EventsEvents which consist of more than one outcome. The union of elementary events.
    In a die toss experiment the compound events are even = {2,4,6} and odd = {1,3,5}
  7. 7ProbabilityProvides a quantitative description of a likely occurrence of a particular event. Probability is conventionally expressed on a scale from 0 to 1. A rare event closer to 0 and a common event is closer to 1
  8. 8Equally-likely OutcomesIn some experiments all outcomes are equally likely. The equally-likely outcomes model is defined as:Equally-likely Outcomes
  9. 9Prior Probability (a-priori)The probability of an event is defined a-priori (before actual experimentation) using the following model:Prior Probability (a-priori)
  10. 10Probability TheoryThe probability that something will occur can be constructed as the ratio of desired outcomes to the total number of outcomes in a series of experiments:
    note: The probability of all outcomes sums to 1
    Probability Theory
  11. 11Simultaneous EventsIf two or more events happen at the same time, multiply the probability of each event to work out the probability of simultaneous events.Simultaneous Events
  12. 12Consecutive EventsIf two or more events happen sequentially,
    add the probability of each event to work out the probability of consecutive events.
    Consecutive Events
  13. 13Addition Rule - Mutually Exclusive EventsEvents that cannot occur at the same time. For example, roll a die, what is the probability of rolling a 2 OR a 5?
    To calculate the probability that A or B will occur, add the probability of each event together.
    Addition Rule - Mutually Exclusive Events

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Fichas sobre Sin título, creado por Z Barnes el 12/05/2016.
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