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Why its is necessary to use sampling in statistical investigation?
Sampling gives good insight of the choosen sample
What difference between Statistical Sampling and non statistical sampling?
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....
How to reduce sampling error?
The only way to get rid of sampling error is to use the entire population under study. This is usually impossible, so the next best thing is to use large samples and good sampling methods.
For a large target population what are the sampling methods use to select the exact population?
There is no sampling method that will select the exact population.
What is systematic sampling use for?
In practice, systematic sampling is used on account of its simplicity and convenience. It's easy to explain to the people doing the actual work. It can be justified theoretically wherever the population from which units are to be sampled systematically are randomly distributed. It can be used for sampling households, sampling callers on a telephone line, sampling plants along a transect in (say) a field, sampling people passing through customs, and so on.
What is sampling up?
Sampling up an image is the same with enlarging it. You can use up sampling to fit an image to a larger surface.
Why its is necessary to use sampling in statistical investigation?
Sampling gives good insight of the choosen sample
What kind of sampling do researchers use to estimate population parameters on individual data A.population sampling b.nonprobability sampling c.ad hoc sampling d.cultural sampling e.probability sam.?
The answer depends on the cost of the various options and the required accuracy of the reusults.
What difference between Statistical Sampling and non statistical sampling?
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....
How to reduce sampling error?
The only way to get rid of sampling error is to use the entire population under study. This is usually impossible, so the next best thing is to use large samples and good sampling methods.
How long has Chorionic villus sampling been used?
Chorionic villus sampling has been in use since the 1980s
For a large target population what are the sampling methods use to select the exact population?
There is no sampling method that will select the exact population.
Why do you use core sampling?
to see what is happening and how the earth is.
When to apply sampling?
you can use sampling when your population under study is large, expensive and time time consuming to study.... in a nut shell, when studying entire population is expensive we go for sampling...
Why do biologists use sampling?
Biologists use sampling in their work because of two main reasons. Studying all the organisms in a population will be time wasting and the exercise will be expensive.
Why you use sloven's formula?
it's a random sampling technique formula to estimate sampling sizen=N/1+N(e)2n- sampling sizeN-total populatione-level of confidence
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.
