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There are many methods: stratified random sampling and cluster sampling are two examples.

Suppose you have a school with 1000 pupil: 400 in the Junior school and 600 in the Senior school. You may wish to keep the sampling proportions in the two parts of the school the same. So if you wanted a sample of 5% = 50 pupils, you would take a probability or random sample of 5% = 20 from the Juniors and 5% = 30 from the Seniors.

For the second example, imagine you want to sample 5% of all schools in the country. This could result in you spending lots of time and money travelling from place to place. Instead, you divide up the country into 100 regions - each containing the same number of schools. You then take a probability sample of 5% of these regions. In each of the regions you visit every school.

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Related Questions

What is non-probability sampling?

Non probability sampling is where the samples are not selected randomly.


Differences between probability samplingand non-probability sampling?

the difference is just that non-probability sampling does not involve random selection, but probability sampling does.


What are the advantages of non probability sampling and probability sampling?

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Pros and Cons of non-probability sampling?

Pros and Cons of a non-probability sampling


What is sampling in research?

Sampling techniques in researching involves to types of sampling. The probability sampling and the non-probability sampling. Simple random is an example of probability sampling.


What is probability sampling and non probability sampling?

In probability sampling,every item in the population has a known chance of being selected as a member.In non-probability sampling, the probability that any item in the population will be selected for a sample cannot be determined.


What is sampling examine well known methods of probability and nonprobability sampling in statistic?

Non probability sampling and probability sampling are different because probability sampling uses random samples. Non probability sampling aren't random, but can still be representative of the population as a whole if done correctly.


Which one is called non probability sampling a. cluster sampling b.quota sampling c. systematic sampling d. stratified sampling?

Answer is Quota sampling. Its one of the method of non-probability sampling.


What are the two types of sampling?

The two main types of sampling are probability sampling and non-probability sampling. Probability sampling involves selecting samples in a way that each member of the population has a known chance of being chosen, ensuring that the sample is representative. Non-probability sampling, on the other hand, does not provide all individuals in the population with a known or equal chance of selection, which can lead to biases in the sample. Common methods include random sampling for probability sampling and convenience or purposive sampling for non-probability sampling.


What is the major drawback of non-probability sampling compared to probability sampling?

Reduced or limited generalizability


Non -probability sample techniques?

Convenience sampling or quota sampling.


What are the differences between probability sampling and non probability sampling?

In a probability sample, each unit has the same probability of being included in the sample. Equivalently, given a sample size, each sample of that size from the population has the same probability of being selected. This is not true for non-probability sampling.

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