ISO 3534: Opération consistant à prélever ou constituer un échantillon.

IATF 16949: A X-Y plot of data to assess the relationship between two variables.

MSA: Is the smallest input that results in detectable (useable) output signal. It is the responsivness of the measurement system to changes in measured feature.

ISO 3534: Procédure pour décider si une hypothèse nulle doit être rejetée en faveur d'une hypothèse alternative

ISO 3534: Procedure to decide if a null hypothesis is to be rejected in favour of an alternative hypothesis.

ISO 3534: Niveau de signification: Probabilité maximale de rejeter l'hypothèse nulle lorsqu'en réalité elle est vraie.

ISO 3534: Maximum probability of rejecting the null hypothesis when in fact it is true.

Pente de la droite : Y=aX ou Y=aX+b

ICH: It is the ability to assess unequivocally the analyte in the presence of components which may be expected to be present. Typically these might include impurities, degradant, matrix, identification, purity tests, and assay.

ICH: Garantie d'évaluer une substance en présence d'autres composés (impuretés,produits de dégradation, matrice…).

ISO 5725: Ecart-type des résultats obtenus sous des conditions de répétabilité.

6 sigma: Standard Operating Procedure (SOP) is an organized way of disseminating information, regarding actions, responsibilities and preventive measures associated with process variables. SOP's ensure a predictable output and reduce the chances for unintended variation

Minitab: The sum of squared distances. SS Total is the total variation in the data. SS Regression is the portion of the variation explained by the model, while SS Error is the portion not explained by the model and is attributed to error. SS Total= SS Regression + SS Error

MSA: Short term estimate of measurement system variation.

ISO 3534: Document formulant des exigences.

Minitab : Specification (limits) represent customer requirements and indicate the amount of variation that you want to see in the process. 

VIM/GUM: Pour une série de n mesurages du même mesurande, grandeur s caractérisant la dispersion des résultats.

ISO 3534: Racine carrée de la variance,

Minitab : The standard deviation is most common measure of dispersion, or how spread out the data are from the mean. The greater the standard deviation, the greater the spread in the data. The symbol σ (sigma) is often used to represent the standard deviation of a population, while s is used to represent the standard deviation of a sample