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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.
How do you evolve a clampearl in diamond?
Clamperl evolves in two ways. One way is to trade it while holding a DeepSeaTooth. Another way is to trade it while holding a DeepSea Scale. If you trade it while it is holding a DeepSea Tooth it will evolve into Huntail. If you trade it while it is holding a DeepSea Scale it will evolve into Gorebyss.
Are random sampling and stratified sampling one and same?
No.
Where is the deep sea tooth in Pokemon ruby?
you have to go to the abandored ship by dewford town, find the scanner then fly to slateport and give it to the captin (forgot his name) he will trade it for deepsea tooth or deepsea scale. you can only get one of them. if you already got 1 of the the other one is impossible to get without trading or cheating. deepsea tooth evolves clampearl into huntail and the scale evolves clampearl into goryabs (sorry about spelling)
How is probability related to statistics?
Probability is related to statistics in a direct manner. When one is doing a research for statistics, probability has to be used especially in sampling a small region.
What is sampling and sampling theory?
Sampling is done to ascertain the grade of mineral and metal values that vary in proportion from one place to another.
What are the 4 kinds of sampling methods in math?
random sampling ,systematic sampling , self-selected , and there is one more i don't know
Which sampling method is appropriate to study the pervalence of AIDS among male and female in india in 1976 1986 1996 2006?
cluster sampling, quota sampling, systematic sampling, stratified random sampling which one is correct?
What is the difference between stratified random sampling and cluster sampling?
Basically in a stratified sampling procedure, the population is first partitioned into disjoint classes (the strata) which together are exhaustive. Thus each population element should be within one and only one stratum. Then a simple random sample is taken from each stratum, the sampling effort may either be a proportional allocation (each simple random sample would contain an amount of variates from a stratum which is proportional to the size of that stratum) or according to optimal allocation, where the target is to have a final sample with the minimum variabilty possible. The main difference between stratified and cluster sampling is that in stratified sampling all the strata need to be sampled. In cluster sampling one proceeds by first selecting a number of clusters at random and then sampling each cluster or conduct a census of each cluster. But usually not all clusters would be included.
What is the difference between cluster sampling and stratified sampling?
Basically in a stratified sampling procedure, the population is first partitioned into disjoint classes (the strata) which together are exhaustive. Thus each population element should be within one and only one stratum. Then a simple random sample is taken from each stratum, the sampling effort may either be a proportional allocation (each simple random sample would contain an amount of variates from a stratum which is proportional to the size of that stratum) or according to optimal allocation, where the target is to have a final sample with the minimum variabilty possible. The main difference between stratified and cluster sampling is that in stratified sampling all the strata need to be sampled. In cluster sampling one proceeds by first selecting a number of clusters at random and then sampling each cluster or conduct a census of each cluster. But usually not all clusters would be included.
What is the difference between flat top sampling and natural sampling?
in flat top sampling the electronic circuit required for sampling are less complicated as compared to the one used in natural sampling, at demodulation of the sample it is very difficult to maintain the natural waveform of the natural sampling so flat top sampling can easily be demodulated.
What is definition of linear snowball sampling?
Linear snowball sampling is when the first responent recruits one more person for the survey, who in turn recruits one more person for the survey. Number of people surveyed will increase in a linear manner.Read more: What_is_linear_snowball_sampling
