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2. File:High School Probability and Statistics (Basic).pdf

   en.wikipedia.org/wiki/File:High_School...

   Original file (1,275 × 1,650 pixels, file size: 6.82 MB, MIME type: application/pdf, 156 pages) This is a file from the Wikimedia Commons . Information from its description page there is shown below.

3. Law of the unconscious statistician - Wikipedia

   en.wikipedia.org/wiki/Law_of_the_unconscious...

   In probability theory and statistics, the law of the unconscious statistician, or LOTUS, is a theorem which expresses the expected value of a function g(X) of a random variable X in terms of g and the probability distribution of X. The form of the law depends on the type of random variable X in question.

4. Event (probability theory) - Wikipedia

   en.wikipedia.org/wiki/Event_(probability_theory)

   In probability theory, an event is a set of outcomes of an experiment (a subset of the sample space) to which a probability is assigned. [1] A single outcome may be an element of many different events, [2] and different events in an experiment are usually not equally likely, since they may include very different groups of outcomes. [3]

5. Marginal distribution - Wikipedia

   en.wikipedia.org/wiki/Marginal_distribution

   The marginal probability is the probability of a single event occurring, independent of other events. A conditional probability, on the other hand, is the probability that an event occurs given that another specific event has already occurred. This means that the calculation for one variable is dependent on another variable. [2]

6. Mathematics - Wikipedia

   en.wikipedia.org/wiki/Mathematics

   The apparent plural form in English goes back to the Latin neuter plural mathematica , based on the Greek plural ta mathēmatiká (τὰ μαθηματικά) and means roughly "all things mathematical", although it is plausible that English borrowed only the adjective mathematic(al) and formed the noun mathematics anew, after the pattern of ...

7. Discrete uniform distribution - Wikipedia

   en.wikipedia.org/wiki/Discrete_uniform_distribution

   In probability theory and statistics, the discrete uniform distribution is a symmetric probability distribution wherein each of some finite whole number n of outcome values are equally likely to be observed. Thus every one of the n outcome values has equal probability 1/n. Intuitively, a discrete uniform distribution is "a known, finite number ...