Christopher Burgess

How confident are you in your lab results? This paper explores this question and, by way of a worked example, provides a methodology to answer it.

This article provides best practice to avoid errors in weighing by difference caused by buoyancy and drift.

Different methods give different answers when calculating limits for impurities. The prediction interval method may be the best option.

Using the central limit theorem concerning the distribution of means allows one to justify the assumption of the normal distribution.

This article applies the basics of stability, performance, and capability to modern process performance and capability indices.

Is there a difference between a specification and a standard?

A case study presents important lessons for using average and individual results, as well as user requirements, when qualifying a laboratory refrigerator.

This column presents a data case study of a laboratory refrigerator and its qualification performance over five days, with important lessons for using average and individual results, as well as user requirements.

Do you have acceptable control of your instruments and analytical procedures?

Statistical procedures give statistical answers not analytical judgement.

The choice of dilution schemes can minimize solution preparation errors.

Statistical analysis shows how much testing is needed to deliver a reliable estimate result.