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Q: What is a stratified random sample survey?
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What is the difference between random and stratified sample in the survey method?

The main difference is that the way of selecting a sample Random sample purely on randomly selected sample,in random sample every objective has a an equal chance to get into sample but it may follow heterogeneous,to over come this problem we can use stratified Random Sample Here the difference is that random sample may follow heterogeneity and Stratified follows homogeneity


What is the difference between stratified and random sampling?

In a stratified sample, the sampling proportion is the same for each stratum. In a random sample it should be but, due to randomness, need not be.


You decide to select ten percent of the inmates in a prison to receive a survey. You decide you want your sample to be representative of the population. Which sampling process would provide the most representative sample?

a stratified random sample


You decide to select ten percent of the inmates in a prison to receive a survey You decide you want your sample to be representative of the population Which sampling process would provide the most r?

a stratified random sample


You decide to select ten percent of the inmates in a prison to receive a survey. You decide you want your sample to be representative of the population. Which sampling process would provide the most r?

a stratified random sample


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


Is the best description of a stratified random sample?

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 greater accuracy of your high-level survey results. The smaller subgroups are called strata. Stratified random sampling is also called proportional or quota random sampling.


What is a stratified random sample?

Stratified random sampling is a sampling scheme which is used when the population comprises a number of strata, or subsets, which are similar within the strata but differ from one stratum to another. One example is school children stratified according to classes, or salaries stratified by departments.A simple random sample may not have enough representatives from each stratum and the solution is to use stratified random sampling. Under this scheme, the overall sampling proportion (sample size/population size) is determined and a sample is drawn from each stratum which represents the same proportion.


The best description of a stratified random sample?

Equal representation for all groups.


How do sampling methods effect the rigor of a study?

A sample needs to be random and if not a simple random sample of the whole population then a stratified random sample (there are different ways to stratify). Otherwise the study is a waste of time.


How is data collected in statistics?

data can be collected many different ways, but a survey can be cunducted in a few different ways some of them are: simple random, stratified, block samples stratified simple random


What is a survey of a representative sample of the population called?

Random selection.