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Non-probability or Judgement Samples has to do with a basic researcher assumptions about the nature of the population, the researcher assumes that any sample would be representative to the population,the results of this type of samples can not be generalized to the population(cause it may not be representative as the research assumed) and the results may be biased.
Probability or Random samples is a sample that to be drawn from the population such that each element in the population has a chance to be in the selected sample the results of the random samples can be used in Statistical inference purposes
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What is the difference between representative and random sampling?
I think representative is choosing a specific group that represent, for example, your target market. Random sampling is choosing a certain number of random people
What is the usual sampling distribution of the differences between means is a?
acrobat
What is the difference between 392 and 247?
What is the difference between 392 and 247?
What is the difference between two numbers is 10 If the numbers are doubled what is What is the difference between them?
the difference is also doubled
What number represents the difference between two equal fractions?
There is no difference in value between "equal" fractions: the difference is zero.
What is differences between convenience and incidental sampling?
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.
What is the difference between quota sampling and cluster sampling?
What is the difference between quota sampling and cluster sampling
Distinguish between convenience and purposive sampling?
tamburo
What is the difference between random sampling and non random sampling?
a
What is the difference between simple random sampling and random sampling?
Simple!
What is the difference between a sample and sampling?
sample is a noun and sampling is TO sample(verb)
What is the difference between Sampling error vs sampling bias?
Sampling error leads to random error. Sampling bias leads to systematic error.
Difference between sampling with replacement and without replacement?
http://www.ma.utexas.edu/users/parker/sampling/repl.htm
What difference between Statistical Sampling and non-statistical 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.
Differences between probability samplingand non-probability sampling?
the difference is just that non-probability sampling does not involve random selection, but probability sampling does.
What is the difference between quota and stratified sampling?
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).
The usual sampling distributionof the difference between means is a what?
There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.
