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

Melissa Horton is a financial literacy professional. She has 10+ years of experience in the financial services and planning industry. NicoElNino / Getty Images Simple random sampling gives each member ...

XRF sample preparation is a precise method of preparing analytes for elemental analysis. For example, organic samples being analyzed by XRF must be uniformly homogenized through the use of hydraulic ...

Single-cell proteomics provides information about a cell at its protein level, which can prove useful for anticancer drug resistance and cell differentiation research. However, current proteomics ...

Heat treatment originated in the Bronze Age and was developed further for processing iron (blacksmithing) around 800 BC, reaching a first peak with the production of Damascus steel at the start of the ...

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 ...

By Courtney Kennedy, Andrew Mercer, Scott Keeter, Nick Hatley, Kyley McGeeney and Alejandra Gimenez As the costs and nonresponse rates of traditional, probability-based surveys seem to grow each year, ...

Precise protein quantification is a crucial step in workflows involving protein extraction, isolation, and analysis. Accurate knowledge of the concentration of your protein sample is essential for ...

Discover effective protein quantification methods for precision in molecular biology and clinical diagnostics.

Our third Methods 101 video explores some of the ways that nonprobability surveys differ from traditional probability-based polls. How do pollsters conduct surveys online and what does that mean for ...