The term "sampling frame" may have no meaning at all in "random" sampling, since the "frame" by nature sets the parameters of the sampling, thus rendering the sampling somewhat "non-random".
Having said that, you might want to study the quality of corn in your area and, depending on which aspects or determining factors you are studying, you might set your sampling frame as "all the farmers in Waterloo region" or "all the farmers in a particular area growing Gold Harvest F1 Hybrid". These two examples will obviously give you different results as they are intended to study different aspects of corn.
simple random, stratified sampling, cluster sampling
Random sampling ensures that a bias in the sampled subjects is avoided. It allows for a diverse and fairly chosen sample of the intended population.
You are correct; convenience sampling is not random sampling.
the sample is a representative crossection of the public
It can be but it is not simple random sampling.
the sample is a representative cross-section of the public.
a
yes
A sampling method in which all members of a group have an equal and independent chance of being selected.
Simple!
Simple Random Sample Stratified Random Sampling Cluster Sampling Systematic Sampling Convenience Sampling
Random Sampling