0
Reverse stratified sampling involves first dividing the population into strata based on specific characteristics, such as Demographics or behavior. However, instead of sampling from each stratum proportionally, you select samples from the strata in a way that is inversely proportional to their size or prevalence in the population. This method can help ensure that underrepresented groups are adequately sampled, allowing for a more balanced representation in the final dataset. After sampling, the data can be weighted to reflect the original population proportions if necessary.
What else can I help you with?
What is stratified random sampling?
cheese
What are the various kind of sampling?
They include: Simple random sampling, Systematic sampling, Stratified sampling, Quota sampling, and Cluster sampling.
Breifly explain three different examples of sampling?
simple random, stratified sampling, cluster sampling
What are the differences between systematic and stratified sampling?
Nothing! there the same
What are the advantages of systematic sampling as compared to stratified?
You can't conduct startified sampling if there are no difinative groups, thus systematic sampling is more efficient if your data has no groups.
Are random sampling and stratified sampling one and same?
No.
Sampling in operations research and management?
semi stratified sampling
What is simple random sampling and stratified random sampling?
yes
What is stratified random sampling?
cheese
What are the various kind of sampling?
They include: Simple random sampling, Systematic sampling, Stratified sampling, Quota sampling, and Cluster sampling.
How is simple random sampling and stratified sampling related?
ang hirap!
What are the example of stratified random sampling?
stratified random sampling is a sample(strata) that a same and hemogenieous in group and that a different and heterogenious in group
Which sampling technique is appropriate for voting behaviour of people?
stratified sampling technique
What is the difference between quota and stratified sampling?
The main difference between the quota and stratified sampling is that in the stratified sampling the researcher can not select the individuals to be included in the sample (he doesn't have control over who will be in the simple), but in the quota sampling the researcher has control over who will be in the sample (he can contact certain people and include them in the sample).
Breifly explain three different examples of sampling?
simple random, stratified sampling, cluster sampling
Which sampling technique can assure that the profile of the sample matches the profile of the population?
Stratified sampling
Mention different types of sampling in statistics.?
Simple Random Sample Stratified Random Sampling Cluster Sampling Systematic Sampling Convenience Sampling
