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sampling is very important for researcher
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∙ 12y ago
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Which sampling method is based on probability?
There are many such methods: cluster sampling, stratified random sampling, simple random sampling.Their usefulness depends on the circumstances.
Are probability and random sampling anonymous?
Probability is a branch of mathematics and so is not linked with any individual and so is anonymous. Random sampling may or may not include information that will allow the contributor to be identified. So it may or may not be anonymous.
What is the difference between simple random sampling and systematic random sampling?
simple random sample is to select the sample in random method but systematic random sample is to select the sample in particular sequence (ie 1st 11th 21st 31st etc.)• Simple random sample requires that each individual is separately selected but systematic random sample does not selected separately.• In simple random sampling, for each k, each sample of size k has equal probability of being selected as a sample but it is not so in systematic random sampling.
What is a major drawback of probability sampling?
There is always an element of random error and so an exact answer is not possible.
What are the advantages and disadvantages of mixed sampling?
avantages and disadvantages of mixed sampling are explained by example given below : if we want to take sample of trees in the forest of India for this we will selected the forests by the simple random sampling and after this we will selected the trees by the systematic sampling we can not used simple random sampling here due to not availability of frame of trees.So this is adavantages of mixed sampling. Now if we want to check the relability of whole procedure then we will not check it .So this is disadavantages of mixed sampling.
Why the random sample is important in design of experiment?
There are circumstances when it is important and others when it is not. If, for example, you wanted a sample of all schools in the country, it would make more sense to go for cluster sampling. A lot of market research work will require quota sampling. So the supremacy of a random sample is a myth.
Which sampling method is based on probability?
There are many such methods: cluster sampling, stratified random sampling, simple random sampling.Their usefulness depends on the circumstances.
What is random sampleng?
Random sampling can be defined as the selection of a random sample; each element of the population had an equal chance of been selected. Random sampling is used in psychology, statistics, math, sociology, movement and research.
What is a less accurate technique then random sampling?
So-called accidental sampling. Please see the link.
When dividing a population into subgroups so that a random sample from each subgroup can be collected?
simple random sampling
Are probability and random sampling anonymous?
Probability is a branch of mathematics and so is not linked with any individual and so is anonymous. Random sampling may or may not include information that will allow the contributor to be identified. So it may or may not be anonymous.
What is the difference between simple random sampling and systematic random sampling?
simple random sample is to select the sample in random method but systematic random sample is to select the sample in particular sequence (ie 1st 11th 21st 31st etc.)• Simple random sample requires that each individual is separately selected but systematic random sample does not selected separately.• In simple random sampling, for each k, each sample of size k has equal probability of being selected as a sample but it is not so in systematic random sampling.
What is a major drawback of probability sampling?
There is always an element of random error and so an exact answer is not possible.
What are the advantages and disadvantages of mixed sampling?
avantages and disadvantages of mixed sampling are explained by example given below : if we want to take sample of trees in the forest of India for this we will selected the forests by the simple random sampling and after this we will selected the trees by the systematic sampling we can not used simple random sampling here due to not availability of frame of trees.So this is adavantages of mixed sampling. Now if we want to check the relability of whole procedure then we will not check it .So this is disadavantages of mixed sampling.
Merits of sampling?
There are several merits of using sampling as a methodology of research. Some of them include saving on time and labor, it significantly reduces the cost of the operation and so much more.
What is random sampling?
Usually applied to accounting, so I will answer based on accounting. If a company has 3000 accounts numbered from 1 to 3000. Lets say you are to look at 100 files. 3000/100 = 30, random sampling is not choosing every 30th account. That does not give an equal chance of selecting each file. File 101 would never be selected. This is a biased sampling. You must use some kind of random number generator to select the 100 files to look at so that every file has an equal probability of being reviewed.
How does random assignment in experiments differ from random sampling in surveys?
Random sampling in surveys takes a randomly selected smaller group from a larger population (so the smaller group is a sample of the larger group). Random assignment separates (randomly) this chosen small group further, into a control group and a treatment group for experiments. For instance, in research surveys: if a group of sick people are asked about their symptoms, they are placed in separate categories of similar symptoms, and then are diagnosed with particular illnesses. Further, in random assignment: if one medicine is given to the group, and it only helps certain symptoms, then a cure has been found for only those particular illnesses, and not the others. You see, random sampling asks certain questions of subjects and gets various responses, whereas, random assignment applies certain principles to subjects and gets various responses. Both ways lead to results which render solutions to problems. If not, further experimentation needs to be made.
