Quality control procedures, Advanced Statistics

Quality control procedures is the statistical process designed to ensure that the precision and accuracy of, for instance, a laboratory test, are maintained within the acceptable limits. The simplest such process involves the chart (generally called a control chart) with three horizontal lines, one made at the target level of the applicable control statistic, and the others, called action lines, made at some pre-specified distance above and below the target level. The procedure is examined to be at an acceptable quality level as long as the observed control statistic lies among the two lines and to be at a rejectable quality level if any of these lines are crossed.

Posted Date: 7/31/2012 7:48:49 AM | Location : United States







Related Discussions:- Quality control procedures, Assignment Help, Ask Question on Quality control procedures, Get Answer, Expert's Help, Quality control procedures Discussions

Write discussion on Quality control procedures
Your posts are moderated
Related Questions
Longini Koopman model : In epidemiology the model for primary and secondary infection, based on the classification of the extra-binomial variation in an infection rate which might

Mauchly test is a test which a variance-covariance matrix of pair wise differences of responses in the set of longitudinal data is the scalar multiple of identity matrix, a proper

In the experimental studies, the collection of individuals to which the experimental process of interest is not applied. In the observational studies, most often used for a collect

Hosmer-Lemeshow test is a goodness-of-fit test taken in use in logistic regression, particularly when there are regular covariates. Units are spitted into deciles based on predict

Cohort component method : A broadly used method or technique of forecasting the age- and sex-speci?c population to the upcoming years, in which the initial population is strati?ed

Glim is the software package specifically suited for fitting the generalized linear models (the acronym stands for the Generalized Linear Interactive Modelling), including the log

Designs which permits two or more questions to be addressed in the investigation. The easiest factorial design is one in which each of the two treatments or interventions are p

Tree is the term from the branch of the mathematics which known as the graph theory, used to describe any set of the straight-line segments joining the pairs of points in some pro

Missing Data - Reasons for screening data In case of any missing data, the researcher needs to conduct tests to ascertain that the pattern of these missing cases is random.

The diagnostic tools or devices used to approach the closeness to the linearity of the non-linear model. They calculate the deviation of so-called expectation surface from the plan