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Example: If you were asked to sample 100 fellows students in your school about soft drink preferences for the school shop, it would be more accurate if, instead of asking 100 friends, you split the school up into certain strata, such as class groups, ages or gender. So if the whole school contains 1000 students of whom 50 are girls in year group 8, an accurate sample of 100 would contain five girls from group 8 (50/1000x100). This process would be repeated with all year groups until the total required sample of 100 was reached. The people to be surveyed in each stratum should be selected randomly..
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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.
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
Are random sampling and stratified sampling one and same?
No.
Example of stratified random sampling?
In stratified sampling, the population to be sampled is divided into groups (strata), and then a simple random sample from each strata is selected. For example, a state could be separated into counties, a school could be separated into grades. These would be the 'strata'.
What is simple random sampling and stratified random sampling?
yes
Sampling in operations research and management?
semi stratified sampling
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 of these is the best description of stratified?
Stratified means to arrange or organize in layers or levels. It is often used to describe something that is divided into different classes or levels based on specific criteria. Stratified sampling, for example, is a method of sampling data where the population is divided into subgroups or strata before 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.
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).
