frequency is simply the rate at which something is happening, ie the frequency of Christmas is once a year, the frequency of having breakfast is once a day etc. If frequency is expressed in Hertz, it's how many times something happens during a second.
Sampling is, well, sampling. Usually means testing and measuring something changeable. If you're running a bath and occasionally stick your fingers in to check the temperature, then that's sampling,
Sampling frequency simply describes at which rate you're making whatever test or measurement it is you're talking about.
frequency means when to sample interval means from where to sample
The Nyquist Theorem says that the sampling frequency should be twice the bandwidth to avoid aliasing. Thus if the bandwidth of the system is bw then the sampling frequency f=2*bw.
reduces
the difference between the source freq. and the reference freq
According to Niquest Theorem, it has to be more than twice the input frequency.
The difference is in sine wave generation algorithm. In HI freq - it is 30kHz signal, modulated by 50Hz.
What is the difference between quota sampling and cluster sampling
a
There is no factual relation between these, but there is a common rule known as the Nyquist-Shannon theorem, that states that to reproduce a waveform with only reasonably errors, the sampling frequency must be at least twice the wave frequency.
Simple!
sampling theorem is defined as , the sampling frequency should be greater than or equal to 2*maximum frequency, and the frequency should be bounded.. i,e fs=2*fmax where fs= sampling frequency
sample is a noun and sampling is TO sample(verb)
The sampling rate must be at least double the highest frequency component of the modulating signal in order to avoid frequency aliasing.
what is the difference betwee two stage and two phase 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.
Sampling error leads to random error. Sampling bias leads to systematic error.
Not less than double the highest frequency component of the signal you're sampling.
http://www.ma.utexas.edu/users/parker/sampling/repl.htm