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random sampling

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Q: What type of sampling produces representative samples?
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What type of sampling is used to estimate the percentage of defects?

random sampling


What are the examples of sampling?

1. Simple Random Sampling (SRS) - For SRS, every element has an equal probability of being chosen. In fact, any pair, triplet, and so on of elements have an equal chance of random selection. Sometimes, SRS can have problems because the randomness of the sample does not represent the population. For example, a SRS of one hundred people will likely produce about fifty men and fifty women, but it's also possible that there will only be ten men and ninety women selected due to natural sampling variation. 2. Systematic Sampling - For this type of sampling, every nth element is sampled. For example, if names were to be sampled through systematic sampling, every tenth name would be picked from the telephone book. However, this type of sampling may result in an unrepresentative sample of the population. 3. Stratified Sampling - When a population has certain categories, samples can be purposely collected from each strata (category). For example, there may be different strata for age groups if the person sampling is interested in variations between differences in age. One problem with stratified sampling is that it requires a more expensive cost than simple random sampling or systematic sampling. 4. Convenience Sampling - This type of sampling involves drawing the easiest samples to reach from the population. This may include surveying customers outside of a grocery store. Because the sample is limited to a certain time/day, it is unrepresentative of the entire population.


When every Member of a population has the chance of being selected based on probability what type of sampling is this?

Simple random sampling.


What Type of sampling is used for estimating population?

statistical.


A population is divided into non-overlapping similar groups from which to be sampled what type of sampling method is this?

Stratified Random Sampling. Google it. .

Related questions

What is the difference between convenience judgment and random sampling?

Non-probability or Judgement Samples has to do with a basic researcher assumptions about the nature of the population, the researcher assumes that any sample would be representative to the population,the results of this type of samples can not be generalized to the population(cause it may not be representative as the research assumed) and the results may be biased. Probability or Random samples is a sample that to be drawn from the population such that each element in the population has a chance to be in the selected sample the results of the random samples can be used in Statistical inference purposes


What type of website is Start Sampling?

StartSampling is an online sampling site. It is a place to find free product samples and coupons. It also has a list of offers from top brand companies.


What type of research technique does a sociologist ensure that data are statistically representative of the population being studied?

Sampling


What type of sampling (sample strategy) is it when I am sampling employees from different organizations?

Convenience sampling or quota sampling


What type of sampling is used to estimate the percentage of defects?

random sampling


What are the examples of sampling?

1. Simple Random Sampling (SRS) - For SRS, every element has an equal probability of being chosen. In fact, any pair, triplet, and so on of elements have an equal chance of random selection. Sometimes, SRS can have problems because the randomness of the sample does not represent the population. For example, a SRS of one hundred people will likely produce about fifty men and fifty women, but it's also possible that there will only be ten men and ninety women selected due to natural sampling variation. 2. Systematic Sampling - For this type of sampling, every nth element is sampled. For example, if names were to be sampled through systematic sampling, every tenth name would be picked from the telephone book. However, this type of sampling may result in an unrepresentative sample of the population. 3. Stratified Sampling - When a population has certain categories, samples can be purposely collected from each strata (category). For example, there may be different strata for age groups if the person sampling is interested in variations between differences in age. One problem with stratified sampling is that it requires a more expensive cost than simple random sampling or systematic sampling. 4. Convenience Sampling - This type of sampling involves drawing the easiest samples to reach from the population. This may include surveying customers outside of a grocery store. Because the sample is limited to a certain time/day, it is unrepresentative of the entire population.


When every Member of a population has the chance of being selected based on probability what type of sampling is this?

Simple random sampling.


What Type of sampling is used for estimating population?

statistical.


Which type of samples analysed by hplc?

The samples that are not volatile and are soluble in the mobile phase.


A population is divided into non-overlapping similar groups from which to be sampled what type of sampling method is this?

Stratified Random Sampling. Google it. .


Why you are using sampling theorem in communication systems?

sampling is a one type of process use for converting into analog signal to digital signal.


When every member of a population has the chance of being selected based on the probability or frequency of its representation in that population you are using which type of sampling?

Systematic sampling