It is a paradox! The more unlikely it is the more improbable it is, therefore the more likely it is the more probable it is. The factor which devides the ultimate question is that atomic particles do not have conciousness, therefore, they may act differently from say someone or a being (say a person) with a conciousness. This equates self awareness and the attitude that self awareness although arbitrary may be retained by the individual without any notion of familiarity. Writter Greg Ori Mathers 2013. Queensland Australia.
What is the difference between quota sampling and cluster 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.
Classical approach has possible outcomes which are known with certainity ie sampling distribution is known. Relative approach is an approach in which probability values are based on historical interest.
With a probabilistic method, each member of the population has the same probability of being selected for the sample. Equivalently, given a sample size, every sample of that size has the same probability of being the sample which is selected. With such a sample it is easier to find an unbiased estimate of common statistical measures. None of this is true for non-probabilistic sampling.
Sampling error leads to random error. Sampling bias leads to systematic error.
the difference is just that non-probability sampling does not involve random selection, but probability sampling does.
What is the difference between quota sampling and cluster 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.
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....
a
Simple!
sample is a noun and sampling is TO sample(verb)
Classical approach has possible outcomes which are known with certainity ie sampling distribution is known. Relative approach is an approach in which probability values are based on historical interest.
The difference between convenience and incidental sampling is that convenience sampling chooses the easiest people to reach when a sampling is done, whereas incidental sampling is done at random.
With a probabilistic method, each member of the population has the same probability of being selected for the sample. Equivalently, given a sample size, every sample of that size has the same probability of being the sample which is selected. With such a sample it is easier to find an unbiased estimate of common statistical measures. None of this is true for non-probabilistic sampling.
Sampling error leads to random error. Sampling bias leads to systematic error.
http://www.ma.utexas.edu/users/parker/sampling/repl.htm