conclusion to the statistics sampling
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Random Sampling is the most common sampling technique
Sampling is needed in order to determine the properties of a distribution or a population. Sampling allows the scientist to determine the variance in an estimate.
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
It states that for satisfactory representation of the sampled signal the sampling frequency must be atleast equal to twice the highest input freq, which is called nyquist sampling. If its less than twice, undersamplin occurs resulting in distortion.
Sampling rate or sampling frequency defines the number of samples per second (or per other unit) taken from a continuous signal to make a discrete or digital signal.