A Primer on probability for design inferences

Abstract Probabilities are numbers between 0 and 1 that attach to events. Events always occur with respect to a reference class of possibilities. Consider a die with faces 1 through 6. The reference class of possibilities in this case can be represented by the set {1, 2, 3, 4, 5, 6}. Any subset of this reference class then represents an event. For instance, the event Eodd, i.e., “an odd number was tossed,” corresponds to {1, 3, 5}. Such an event is said occur if any one of its outcomes occurs, i.e., if either a 1 is tossed or a 3 or a 5. Outcomes can therefore be represented as singleton sets, i.e., sets with only one element. Thus, the outcomes associated with Eodd = {1, 3, 5} are E1 = {1}, E3 = {3}, and E5 = {5}. Outcomes are sometimes also called elementary events. Events include not only outcomes but also composite events like Eodd that include more than one outcome.
Keywords No keywords specified (fix it)
Categories No categories specified (fix it)
Options
 Save to my reading list
Follow the author(s)
My bibliography
Export citation
Find it on Scholar
Edit this record
Mark as duplicate
Revision history Request removal from index
 
Download options
PhilPapers Archive


Upload a copy of this paper     Check publisher's policy on self-archival     Papers currently archived: 5,709
External links
  •   Try with proxy.
  • Through your library Only published papers are available at libraries

    Similar books and articles

    Analytics

    Monthly downloads

    Added to index

    2009-01-28

    Total downloads

    6 ( #145,761 of 549,724 )

    Recent downloads (6 months)

    0

    How can I increase my downloads?


    My notes
    Sign in to use this feature


    Discussion
    Start a new thread
    Order:
    There  are no threads in this forum
    Nothing in this forum yet.

    Other forums