Stratified sampling

• What does stratified sampling involve?


  dividing the population into distinct strata based on specific characteristics, ensuring a purposeful representation of variability.
• What does stratified sampling aim to improve?


  The precision of estimates by considering variations within each stratum.
• What does stratified sampling ensure?


  That each stratum is adequately represented in the final sample, leading to more accurate and nuanced results.
• What does stratified sampling allow better control over?

  Variables of interest, such as soil depth or plant height, by ensuring representation from each stratum.
• How does stratified sampling help researchers?


  It enables researchers to study the specific characteristics of interest within well defined subgroups.
• How does stratified sampling minimise bias?

  By ensuring that each subgroup or stratum is adequately represented in the sample.