Table of Contents
15 relations: Association for Psychological Science, Bijection, Effect size, Extraordinary claims require extraordinary evidence, Folk science, Independence (probability theory), Meta-analysis, Observer bias, P-value, Parameter, Probability distribution, Psychological Science, Random variable, Statistical hypothesis test, Statistics.
Association for Psychological Science
The Association for Psychological Science (APS), previously the American Psychological Society, is an international non-profit organization whose mission is to promote, protect, and advance the interests of scientifically oriented psychology in research, application, teaching, and the improvement of human welfare.
See P-rep and Association for Psychological Science
Bijection
A bijection, bijective function, or one-to-one correspondence between two mathematical sets is a function such that each element of the first set (the domain) is mapped to exactly one element of the second set (the codomain).
Effect size
In statistics, an effect size is a value measuring the strength of the relationship between two variables in a population, or a sample-based estimate of that quantity. P-rep and effect size are statistical hypothesis testing.
Extraordinary claims require extraordinary evidence
"Extraordinary claims require extraordinary evidence" (sometimes shortened to ECREE), also known as the Sagan standard, is an aphorism popularized by science communicator Carl Sagan.
See P-rep and Extraordinary claims require extraordinary evidence
Folk science
Folk science (also known as "folk knowledge" or "folk classification" (not to be confused with Folk classification, a method of classifying sedimentary rocks named after Robert L. Folk) describes ways of understanding and predicting the natural and social world, without the use of formalized, rigorous, methodologies (see Scientific method).
Independence (probability theory)
Independence is a fundamental notion in probability theory, as in statistics and the theory of stochastic processes.
See P-rep and Independence (probability theory)
Meta-analysis
Meta-analysis is the statistical combination of the results of multiple studies addressing a similar research question.
Observer bias
Observer bias is one of the types of detection bias and is defined as any kind of systematic divergence from accurate facts during observation and the recording of data and information in studies.
P-value
In null-hypothesis significance testing, the p-value is the probability of obtaining test results at least as extreme as the result actually observed, under the assumption that the null hypothesis is correct. P-rep and p-value are statistical hypothesis testing.
Parameter
A parameter, generally, is any characteristic that can help in defining or classifying a particular system (meaning an event, project, object, situation, etc.). That is, a parameter is an element of a system that is useful, or critical, when identifying the system, or when evaluating its performance, status, condition, etc.
Probability distribution
In probability theory and statistics, a probability distribution is the mathematical function that gives the probabilities of occurrence of possible outcomes for an experiment.
See P-rep and Probability distribution
Psychological Science
Psychological Science, the flagship journal of the Association for Psychological Science, is a monthly, peer-reviewed, scientific journal published by SAGE Publications.
See P-rep and Psychological Science
Random variable
A random variable (also called random quantity, aleatory variable, or stochastic variable) is a mathematical formalization of a quantity or object which depends on random events.
Statistical hypothesis test
A statistical hypothesis test is a method of statistical inference used to decide whether the data sufficiently support a particular hypothesis. P-rep and statistical hypothesis test are statistical hypothesis testing.
See P-rep and Statistical hypothesis test
Statistics
Statistics (from German: Statistik, "description of a state, a country") is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data.

