The main difference in taking the samples is that for a variable sample, measurements of a characteristic of interest are taken, and for an attribute sample, one counts the number of units having or not having specific properties (mostly good/bad or number of flaws). Generally, attribute samples are much larger than variable samples and to be useful, need to be very large, when the proportion of bad units (or flaws) is very small.
Simple!
sample is a noun and sampling is TO sample(verb)
The difference between a variable resistor and a rheostat is the same as the difference between six and half a dozen.
An attribute describes something. A variable is something that can take on many values. An example in statistics for an attribute could be for a set of data the diameter. The attribute of the data could be the mean is 5 and standard deviation is 1/2. This describes the data. An example of a variable in statistics for the same set of data above is the diameter reading itself. The diameter will vary and is measured for each member of the population or sample, and may be 4.9, 5.1, 4.95, 5.05, etc. The value can vary on each part.
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
An attribute is a class member variable while a behaviour is a class member method.
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Simple!
sample is a noun and sampling is TO sample(verb)
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.
Sampling error leads to random error. Sampling bias leads to systematic error.
difference between fixed and variable inputs
http://www.ma.utexas.edu/users/parker/sampling/repl.htm
The difference between a variable resistor and a rheostat is the same as the difference between six and half a dozen.
The difference between a controlled variable and a variable is in their state. A controlled variable is something which is rigid and constant while a variable is liable to change and inconsistent.
An attribute describes something. A variable is something that can take on many values. An example in statistics for an attribute could be for a set of data the diameter. The attribute of the data could be the mean is 5 and standard deviation is 1/2. This describes the data. An example of a variable in statistics for the same set of data above is the diameter reading itself. The diameter will vary and is measured for each member of the population or sample, and may be 4.9, 5.1, 4.95, 5.05, etc. The value can vary on each part.