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There are a number of benefits and drawbacks to stratified sampling. Two benefits are:

- You have a cross-section of the population, so this is more likely to be representative and thus easier to generalise.
- You are less likely to get a "freak" sample.

Two drawbacks are:

- This is a very long and difficult form of sampling. It could be inconvenient or costly.
- You may not stratify the population by the relevant factors - what if their gender isn't important, but their economic bracket is?

Q: What are some benefits and drawback of stratified sampling?

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sampling errorS OCCURES WHEN SOME POPULATION UNITS ARE EXCLUDED FOR SAMPLING

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

In systemic sampling, we select some starting point and then select every kth (such as the 50th) element in the population. Per Elementary Statistics by Triola, page 24

Purposive sampling involves selecting participants for a study based on some characteristic that you know they have. There is nothing random about their selection - it was done with intent. An advantage of this type of sampling is that it allows the researcher to quickly hone in on the target population. A disadvantage to this form of sampling is that researcher bias can creep in to influence results, if subjects are not chosen very carefully.

a disadvantige is that a rocket gets disposed of after each flight

Related questions

There are many advantages of using the stratified random sampling. Some of them are, ability to reduce human potential in choosing the cases in sample, statistical conclusion fro data collected, improving representation of strata etc.

Some common methods used in conducting research include surveys, experiments, interviews, case studies, and observations. These methods allow researchers to collect data, analyze it, and draw conclusions based on the findings. Researchers often choose the method that best aligns with their research questions and objectives.

you get paid and can help your family with important tasks ( . ) ( . )

In (Simple) random sampling, all of the units in the sample have the same chance of being included in the sample. Units are selected randomly from a population by some random method that gives equal probability to each element. In stratified random sampling, the entire population is divided into heterogeneous sub-popuation known as strata (sub-population with unequal variances) and a random sample is chosen from each of these stratum. The reason when to use which depends on the situation and need of the experimenter.

Stratified sampling is used where the population to be sampled can be divided into subsets, called strata, according to some criterion. Each of these strata are then treated as population and random samples representing the same sampling proportion are taken from each stratum. This ensures that in the overall sample, the number from each stratum is proportional to the size of the stratum in the population. So, for example, if the population consists of 100 boys and 150 girls and you want a sample of 25. The overall sampling proportion is 25/(100+150) = 25/250 = 1/10. So the sampling procedure is to take a simple random sample of 10 boys out of 100 and a simple random sample of 15 girls out of 150. If the whole sample were selected randomly, there is only a 17% probability that it would have been 10 boys and 15 girls. Stratification ensures both genders are represented proportionally in the sample.

The possible benefit of refinancing your home is that you might actually get some money from doing that. The possible drawback is you might not only lose mney, but your home.

In some situations stratified random sampling may be more appropriate. You may have a population which can be divided up into a number of subsets (strata) such that the difference between units in different strata is much greater than the difference between units within each stratum. A probability sample may not have enough units from some of the smaller strata. A stratified random sample will ensure that each stratum is represented proportionally. In other situations, cluster sampling may be more appropriate. Suppose you wish to visit a sample 1% of all schools in the country. If you were to choose the schools by probability sampling they would be all over the country and you would require a huge amount of time and money to visit them all. What you could do, instead, is to divide up the country into 1000 regions. Select 10 of these regions (1%) and then visit every school in the selected regions. Far less running around!

The biggest drawback of a minor becoming the sole proprietor of a business is his inability to enter into legal contracts he must go through some other business for any legal issues. The benefits are that he can get rich if he has a good product.

A setback can be referred to as a bump in the road or some obstacles that causes you to regress. A drawback is a con or a disadvantage.

The major drawback of a closed-ended fund is that if the market tanks, demand for the shares can evaporate overnight, leaving you holding a worthless investment. While a closed end fund has many benefits, there are also some drawbacks. The main drawback is that you can not use the initial capital to continue dividend payments.

sampling errorS OCCURES WHEN SOME POPULATION UNITS ARE EXCLUDED FOR SAMPLING

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