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  2. Fat Chance: Probability from 0 to 1 - Wikipedia

    en.wikipedia.org/wiki/Fat_Chance:_Probability...

    First edition. Fat Chance: Probability from 0 to 1 is an introductory undergraduate-level textbook on probability theory, centered on the metaphor of games of chance. [1] It was written by Benedict Gross, Joe Harris, and Emily Riehl, based on a course for non-mathematicians taught to Harvard University undergraduates, and published by the Cambridge University Press in 2019.

  3. For Dummies - Wikipedia

    en.wikipedia.org/wiki/For_Dummies

    For Dummies book on the subject; and For Dummies Quick Reference, which is a condensed alphabetical reference to the subject. A larger All-in-One Desk Reference format offers more comprehensive coverage of the subject, normally running about 750 pages.

  4. Probability - Wikipedia

    en.wikipedia.org/wiki/Probability

    Probability is the branch of mathematics and statistics concerning events and numerical descriptions of how likely they are to occur. The probability of an event is a number between 0 and 1; the larger the probability, the more likely an event is to occur.

  5. Law of total probability - Wikipedia

    en.wikipedia.org/wiki/Law_of_total_probability

    The term law of total probability is sometimes taken to mean the law of alternatives, which is a special case of the law of total probability applying to discrete random variables. [ citation needed ] One author uses the terminology of the "Rule of Average Conditional Probabilities", [ 4 ] while another refers to it as the "continuous law of ...

  6. Probability and statistics - Wikipedia

    en.wikipedia.org/wiki/Probability_and_statistics

    Probability and statistics are two closely related fields in mathematics, sometimes combined for academic purposes. They are covered in several articles:

  7. Notation in probability and statistics - Wikipedia

    en.wikipedia.org/wiki/Notation_in_probability...

    The probability is sometimes written to distinguish it from other functions and measure P to avoid having to define "P is a probability" and () is short for ({: ()}), where is the event space, is a random variable that is a function of (i.e., it depends upon ), and is some outcome of interest within the domain specified by (say, a particular ...

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