How can online platforms and digital tools be used to enhance the teaching and learning of stratified random sampling

What is a stratified random sample? What is a cluster sample? How are they the same? How are they different? Stratified random sampling involves physically verifying a subset of randomly selected service lines in the distribution system. That subset is stratified or ... Stratified sampling is a method of sampling that involves dividing a population into homogeneous subgroups or 'strata', and then randomly selecting individuals ... Stratified random sampling reduces the number of samples needed by grouping water use quantities likely to be similar. In this case study, for example, large ... 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 ... Nov 29, 2004 ... I'd want to do is to generate a subsample by randomly pulling ONE record per population (=9). Then I'd want to repeat that 99 times to get 100 randomly chosen ... Nov 28, 2022 ... In stratified random sampling, we divide the diverse population into strata or groups which are non-overlapping, and sampling is carried out ... Dec 16, 2014 ... However, unlike SRS, the chance of each item being selected in an StRS does not need to equal the chance of any other item being selected. All per-stratum samples are combined to derive the “stratified random sample”. Suppose that the population is divided into two strata, one with elements. {1, 2, ... In this article, we propose an exponential ratio type estimator for estimating the finite population mean in simple and stratified random sampling.