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Sir, I got two questions here
1. In the course notes, the option concerning the stratified sampling ” the sample is chosen entirely at random” is false.
Does”entirely at random” mean the Random sampling method? So, this is why the option is false, right?
2. Which sampling methods should use sampling frames?
Thank you so much, btw, your lessons are very useful! Thanks again 🙂1 Yes – it is only random sampling that is completely random
2 Stratified and quota sampling both need sampling frames
But why stratified and quota sampling need sampling frames? Sampling frames are a list of number in population. Stratified sampling only needs population divided into categories and the proportion,right? n quota sampling also is about the proportion. I cant understand why there is a sampling frame for each of them. But I do know that random sampling needs one.
For strafed sampling (for example) we need to know how many of the population fall into each category in order to be able to decide how many to sample in each category. This is what a sampling frame is.
then systematic sampling would need a sampling frame, so that we can pick numbers at each nth?
No. If you select (for example) every 10th item, then it doesn’t need a ‘frame’.
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