Learn the distinctions between simple and stratified random sampling. Understand how researchers use these methods to accurately represent data populations.

A recent Miner Institute Farm Report article dug into best practices around creating samples, and how to get results that are rooted in the reality of what your cows are eating.

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 ...

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 ...

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 ...

Julie Young is an experienced financial writer and editor. She specializes in financial analysis in capital planning and investment management. Dr. JeFreda R. Brown is a financial consultant, ...

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 ...

Historically, public opinion surveys have relied on the ability to adjust their datasets using a core set of demographics – sex, age, race and ethnicity, educational attainment, and geographic region ...

With statistical sampling, counsel can simplify damage analyses, avoid potential issues with incomplete or missing data, and minimize the risk of error. In our prior ...