The chapter seems easy enough, but I just can't seem to understand which method to use when, and why you can't use simple random sampling for everything.
- Identify the sampling procedures that would be appropriate in the following situations:
- A local education officer wishes to examine the mean number of children per family on a large housing estate.
- A consumer protection body wishes to estimate the proportion of trains that are running late.
- A marketing consultant wishes to investigate the proportion of households in a town that have a personal computer.
- The headteacher of a large school wishes to estimate the average number of hours of homework done per week by the students.
The back of the book says cluster, stratified, stratified, random, but I don't understand how you're supposed to know that or why you can't just use random all the time.
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S3 Ch. 3 - sampling watch
- Thread Starter
- 03-08-2009 16:24
- 04-08-2009 17:56
It's a dumb question, but just think about the advantages and disadvantages of each type. For example, cluster sampling may be cheaper to run if you have natural groups which you suspect to be small-scale representations of the population as a whole. On the other hand it leads to greater error.