Simple!
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.
the difference is just that non-probability sampling does not involve random selection, but probability sampling does.
It can be but it is not simple random sampling.
Random Sampling
Random sampling is the sample group of subjects that are selected by chance, without bias. Random assignment is when each subject of the sample has an equal chance of being in either the experimental or control group of an experiment.
a
Simple!
That's a random question
Random sampling is picking a subject at random. Systematic sampling is using a pattern to pick subjects, I.e. picking every third person.
Sampling error leads to random error. Sampling bias leads to systematic error.
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.
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.
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.
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
the difference is just that non-probability sampling does not involve random selection, but probability sampling does.
Sampling involves selecting a subset of individuals or items from a larger population for study. Random sampling is a specific type of sampling method where each individual or item in the population has an equal chance of being selected. In random sampling, the selection of individuals is done purely by chance, reducing bias in the sample.