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Advantages and disadvantages of probability sampling:

Advantages: Since it is done at random, the whole process is unbiased. This is good to use in smaller populations, of course it doesn't 100% protect from bias (depending on the question). But this option is a quicker way of achieving information.

Disadvantages: As i said before, depending on your question it cannot prevent from bias. Also, if you are sampling information from a large population this will take too much time and patience. There is also no guarantee that what these people say, represents what another group of people believe.

Non-probability sampling:

Advantages: This is more accurate because you are targeting a specific group, therefore your answers will be similar to what the rest of the population (of this group) will answer.

Disadvantages: This is more biased, because the individuals chosen are not at random. They also might not represent what another population thinks

Q: What are the advantages and disadvantages of non probability sampling?

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

Pros and Cons of a non-probability sampling

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.

It is quite likely that the sample is not representative of the population and so while statistical conclusion may be valid for the sample, they may not apply to the population.

an approach to sampling that has the characteristics of being randomly selected and the use of probability theory to evaluate sample results. Whereas non-statistical sampling is therefore any sampling approach that does not have both of the characteristicss of statistical sampling. I hope this will help....

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hihi

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

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

Pros and Cons of a non-probability sampling

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.

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.

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.

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

Reduced or limited generalizability

Convenience sampling or quota 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.

Yes.