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I attempted a question in Kaplan. I was unable to understand two parts.
Every 10th person chosen randomly from each ward in a hospital. This is Stratified Sampling but how?
A sample, which is as representative as possible of the composition of the staff in terms of gender, age and department, is taken by stopping appropriate staff in the corridors and canteen.
Is this Quota sampling or Stratified sampling?Can you explain professor?
The first is stratified sampling because they are splitting the population into groups (each ward is effectively a group) and then selecting randomly from within each group.
The second is quota sampling because people are stopped as they appear until we have the required % of the total sample from each of the gender, age, and department.
Professor in stratified sampling we choose sample proportional to size of group to that population. Here, we have no proportional sample?
It is stratified because the population has been split into groups – it is just that the groups here are the separate wards.
Right professor.
I tried to find lectures on sampling or notes on sampling but could not find. Can you please example me few?
What is difference between in Quota sampling and Stratified Sampling?
I am unable to understand these two only.
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