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Substantive procedures (or substantive tests) are those activities performed by the auditor to detect material misstatement at the assertion level. [1]Management implicitly assert that account balances and disclosures and underlying classes of transactions do not contain any material misstatements: in other words, that they are materially complete, valid and accurate.
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There are two primary levels at which objectives (and also controls) are defined: entity-level and assertion level. An example of an entity-level control objective is: "Employees are aware of the Company's Code of Conduct." The COSO 1992–1994 Framework defines each of the five components of internal control (i.e., Control Environment, Risk ...
In statistics, asymptotic theory, or large sample theory, is a framework for assessing properties of estimators and statistical tests.Within this framework, it is often assumed that the sample size n may grow indefinitely; the properties of estimators and tests are then evaluated under the limit of n → ∞.
[1] In statistical prediction, the coverage probability is the probability that a prediction interval will include an out-of-sample value of the random variable . The coverage probability can be defined as the proportion of instances where the interval surrounds an out-of-sample value as assessed by long-run frequency .
In computer software testing, a test assertion is an expression which encapsulates some testable logic specified about a target under test. The expression is formally presented as an assertion, along with some form of identifier, to help testers and engineers ensure that tests of the target relate properly and clearly to the corresponding specified statements about the target.
In statistics, the sample maximum and sample minimum, also called the largest observation and smallest observation, are the values of the greatest and least elements of a sample. [1] They are basic summary statistics, used in descriptive statistics such as the five-number summary and Bowley's seven-figure summary and the associated box plot.
Indeed, in statistics there is a common aphorism that "all models are wrong". In the words of Burnham & Anderson, In the words of Burnham & Anderson, "Modeling is an art as well as a science and is directed toward finding a good approximating model ... as the basis for statistical inference".