sample is a noun and sampling is TO sample(verb)
Sampling Error
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....
in multi-stage sampling the population is divided into a nonumber of units & in multi-phase sapling when certain items of information are collected from all the units in a sample and other itemsof usually more detailed information are collected from the subsample of the units composing the original sample.
Simple!
sample is a noun and sampling is TO sample(verb)
The main difference between the quota and stratified sampling is that in the stratified sampling the researcher can not select the individuals to be included in the sample (he doesn't have control over who will be in the simple), but in the quota sampling the researcher has control over who will be in the sample (he can contact certain people and include them in the sample).
Sampling bias.
Sampling Error
In a stratified sample, the sampling proportion is the same for each stratum. In a random sample it should be but, due to randomness, need not be.
Samplig frame is the source material from which the sample is drawn. If you have a 'list' of names of all inviduals from which you could draw a sample, the list is a sampling frame. A samplig unit is the sample being chosen.
What is the difference between quota sampling and cluster sampling
Statistical sampling is an objective approach using probability to make an inference about the population. The method will determine the sample size and the selection criteria of the sample. The reliability or confidence level of this type of sampling relates to the number of times per 100 the sample will represent the larger population. Non-statistical sampling relies on judgment to determine the sampling method,the sample size,and the selection items in the sample.
refers to difference between sample & population that exist only coz of the observations that happened to be selected for the sample.
you can figure it out by going to google and googling it
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....
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.