00:01
In this question, first we have stratified sample.
00:07
So we know that stratified sample is a method in which the population is divided into subgroups.
00:15
The population is divided.
00:20
The population is divided into subgroups.
00:26
Based on certain characteristics, we call these subgroups as strata.
00:32
And then a random sample is taken from each subgroup.
00:35
So in this case, we have two subgroups, which are the freshman, the freshman, and the other subgroup is seniors.
00:50
So it could be a stratified sample.
00:55
Now coming to the next one, we are given the cluster sample.
01:00
So in this method, the population is divided into clusters.
01:06
Population is divided into clusters, and then a random sample of clusters is selected.
01:13
All the members of the selected clusters are included in this sample.
01:17
So this is clearly not a cluster sample.
01:24
Now coming to the third one, we are given a systematic sample.
01:31
Systematic sample.
01:34
So in this method, every nth member of the population is selected.
01:40
Every nth member of the population is selected.
01:46
So in this question, we don't have any information about every nth member...