each object/event/person/whatever is chosen randomly from the population.
The answer is Random Sample
random sample is a big sample and convenience sample is small sample
simple random sample is to select the sample in random method but systematic random sample is to select the sample in particular sequence (ie 1st 11th 21st 31st etc.)• Simple random sample requires that each individual is separately selected but systematic random sample does not selected separately.• In simple random sampling, for each k, each sample of size k has equal probability of being selected as a sample but it is not so in systematic random sampling.
The main difference is that the way of selecting a sample Random sample purely on randomly selected sample,in random sample every objective has a an equal chance to get into sample but it may follow heterogeneous,to over come this problem we can use stratified Random Sample Here the difference is that random sample may follow heterogeneity and Stratified follows homogeneity
A random distribution is a random sample set displayed in the form of a bell curve. See random sample set.
to select a random sample you pick them at random
A random sample should be taken from an entire population.
at random to represent the population
Random Sample
random sample
a random friend put
A larger random sample will always give a better estimate of a population parameter than a smaller random sample.