Can machine learning help in identifying optimal strata

Stratified sampling: In this method, the population is divided into groups (or strata) and people are selected from each group at random.Cluster sampling: In ... Nov 10, 2020 ... We describe the use of a novel Geographic Information System (GIS)-based population based sampling to minimize selection bias in a rural community based study. Randomly sampling from among sub-populations who share characteristics that are important with respect to answering the guiding questions (such as race, gender, ... Feb 27, 2023 ... A stratified random sample is a type of statistical sampling in which a population divides into mutually exclusive and collectively homogeneous strata. Dec 6, 2015 ... A SRS is good for when your population is homogeneous. Any one sample of N units is just as good as any other sample. If there are distinct ... Stratified random sampling is a form of probability sampling that provides a methodology for dividing a population into smaller subgroups as a means of ensuring ... Stratified Random Sampling. STRATIFIED RANDOM SAMPLING – A representative number of subjects from various subgroups is randomly selected. Suppose we wish to ... Nov 23, 2017 ... The problem I am facing is how to distribute the resulting sample size among the 5 departments. I was hoping for a stratified random sampling but clearly, the ... Stratified purposeful sampling is different from stratified random sampling in that the sample sizes are likely to be too small for generalization. Why use ... Stratified sampling is a method of sampling that involves dividing a population into homogeneous subgroups or 'strata', and then randomly selecting individuals ...