00:01
In the random sampling, in the random sampling randomly any number of samples randomly any number of sample is taken from the population.
00:15
Any number of sample is taken from the population.
00:22
So in cluster sampling, in random sampling any number of populations can be taken from the sample.
00:31
Any number of samples can be taken from the population.
00:35
Whereas in terms of cluster sampling, first population is divided into clusters.
00:44
Population is divided into clusters and then the cluster is randomly selected from the random sampling.
00:54
And then the cluster is randomly selected for the sampling.
00:58
Whereas in terms of stratified sampling, in terms of stratified sampling, whole population is divided into the strata.
01:12
Whole population.
01:13
Whole population is divided into strata and then from each strata sampling is taken out.
01:25
In symmetric sampling.
01:28
In symmetric sampling, each sample is taken in.
01:35
Symmetric way such that every nth entry is taken for the sample...