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In statistics, efficiency is a measure of quality of an estimator, of an experimental design, [1] or of a hypothesis testing procedure. [2] Essentially, a more efficient estimator needs fewer input data or observations than a less efficient one to achieve the Cramér–Rao bound .
Psychological statistics is application of formulas, theorems, numbers and laws to psychology. Statistical methods for psychology include development and application statistical theory and methods for modeling psychological data. These methods include psychometrics, factor analysis, experimental designs, and Bayesian statistics. The article ...
Performance is a measure of the results achieved. Performance efficiency is the ratio between effort expended and results achieved. The difference between current performance and the theoretical performance limit is the performance improvement zone. Another way to think of performance improvement is to see it as improvement in four potential areas:
Different sampling designs and statistical adjustments may have substantially different impact on the bias and variance of estimators (such as the mean). [citation needed] An example of a design which can lead to estimation efficiency, compared to simple random sampling, is Stratified sampling. This efficiency is gained by leveraging ...
The use of a sequence of experiments, where the design of each may depend on the results of previous experiments, including the possible decision to stop experimenting, is within the scope of sequential analysis, a field that was pioneered [12] by Abraham Wald in the context of sequential tests of statistical hypotheses. [13]
Efficiency is very often confused with effectiveness. In general, efficiency is a measurable concept, quantitatively determined by the ratio of useful output to total useful input. Effectiveness is the simpler concept of being able to achieve a desired result, which can be expressed quantitatively but does not usually require more complicated ...
The input–process–output (IPO) model of teams provides a framework for conceptualizing teams. The IPO model suggests that many factors influence a team's productivity and cohesiveness . It "provides a way to understand how teams perform, and how to maximize their performance".
the relative efficiency gains resulting from different systems of management, organization, co-ordination or engineering. the productive effects of some forms of labour on other forms of labour. These aspects of productivity refer to the qualitative dimensions of labour input. If an organization is using labour much more intensely, one can ...