1. Why is it better to survey a large number of people in a statistical investigation.
The more people who are included in a survey, the more accurate the results are likely to be. The sample should also be random to avoid the results being biased.
2. What is the difference between a sample and a census?
A census covers all of the people in the group or population being studied.
A sample is just some of the people in that population.
3. Why should a sample be random?
If a sample is not RANDOM it is likely to lead to BIASED results.
4. Can you give me an example of a biased sample?
If you were doing a survey of all New Zealanders, on who their favourite singer was, and you asked only teenage girls.
5. How can a RANDOM sample be selected?
There are lots of ways, ranging from picking names out of a hat to using computers.
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