Learn how representative samples and random samples differ and why combining them minimizes sampling bias for accurate data.

Survey sampling and estimation methods form the cornerstone of modern statistical inference, underpinning research across the social, medical, and natural sciences. At their heart, these methods ...

The Journal of Geo-information Science recently published an online article on research led by researcher Lianfa Li and researcher Xiaomei Yang (Institute of Geographic Sciences and Natural Resources ...

A wholistic tumour sampling method that more accurately detects genetic alterations in tumours, which are critical in allowing treatment to be personalised to each and every patient, has been ...

The United Kingdom and the United States share many similarities but are distinctly different in the way each nation structures and enforces their respective health and safety legislation, monitoring ...

Agricultural soil testing is critical to determining soil’s nutrient concentration and variability across your fields. It is ideal to test your fields’ soil at least every two to three years to inform ...

Sampling is a technique in which samples are drawn at random (without any favor or bias). For this, suitable measures or procedures may be laid down and adopted according to the nature and ...

A recent article explained the role of Gas Chromatography-Mass Spectrometry (GC/MS) in the analytics laboratory. The current article focuses on reviewing the technology used for preparing volatile ...