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2. List of unsolved problems in statistics - Wikipedia

   en.wikipedia.org/wiki/List_of_unsolved_problems...

   There are many longstanding unsolved problems in mathematics for which a solution has still not yet been found. The notable unsolved problems in statistics are generally of a different flavor; according to John Tukey, [1] "difficulties in identifying problems have delayed statistics far more than difficulties in solving problems."

3. Empirical probability - Wikipedia

   en.wikipedia.org/wiki/Empirical_probability

   In probability theory and statistics, the empirical probability, relative frequency, or experimental probability of an event is the ratio of the number of outcomes in which a specified event occurs to the total number of trials, [1] i.e. by means not of a theoretical sample space but of an actual experiment.

4. Experiment (probability theory) - Wikipedia

   en.wikipedia.org/wiki/Experiment_(probability...

   In probability theory, an experiment or trial (see below) is any procedure that can be infinitely repeated and has a well-defined set of possible outcomes, known as the sample space. [1] An experiment is said to be random if it has more than one possible outcome, and deterministic if it has only one.

5. Foundations of statistics - Wikipedia

   en.wikipedia.org/wiki/Foundations_of_statistics

   In practice, a statistic is computed based on the experimental data and the probability of obtaining a value greater than that statistic under a default or "null" model is compared to a predetermined threshold. This threshold represents the level of discord required (typically established by convention).

6. 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]

7. Probability distribution - Wikipedia

   en.wikipedia.org/wiki/Probability_distribution

   A discrete probability distribution is the probability distribution of a random variable that can take on only a countable number of values [15] (almost surely) [16] which means that the probability of any event can be expressed as a (finite or countably infinite) sum: = (=), where is a countable set with () =.