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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. A statistic (singular) is the result of applying a function (statistical algorithm) to a set of data. More formally, statistical theory defines a statistic as a function of a sample where the function itself is independent of the sample''s distribution: the term is used both for the function and for the value of the function on a given sample. A statistic is distinct from an unknown statistical parameter, which is not computable from a sample. A statistic used to…mehr

Produktbeschreibung
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. A statistic (singular) is the result of applying a function (statistical algorithm) to a set of data. More formally, statistical theory defines a statistic as a function of a sample where the function itself is independent of the sample''s distribution: the term is used both for the function and for the value of the function on a given sample. A statistic is distinct from an unknown statistical parameter, which is not computable from a sample. A statistic used to estimate a parameter is called an estimator. For instance, the sample mean is a statistic and an estimator for the population mean, which is a parameter.