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Statistics & Probability
Statistics & Probability
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Different sampling methods, decision making
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1
If you are making a decision based on the odds of something happening, you are using
Random sample
Experimental probability
Subjective judgement
Theoretical probability
2
sample that is not biased; a good way of getting a sample that is representive of the population
Random sample
Convenience sample
Cluster sample
Self-selected sample
3
using anyone who happens to be available as the sample
Random sample
Stratified sample
Representative sample
Convenience sample
4
selected to include members of all of the different groups in the population
cluster sample
systematic sample
convenience sample
stratified sample
5
choose every "nth" (e.g. 10th or 15th) person in the population
Stratified sample
Systematic sample
Random sample
Opportunistic (or opportunity) sample
6
selected so that everyone in the target population has an equal chance of being picked
Cluster sample
Wonky sample
Random sample
Stratified sample
7
first participant is chosen, then that person finds others to take part
convenience sample
random sample
systematic sample
stratified sample
8
making a decision based upon what has happened in the past
subjective judgment
invalid conclusion
theoretical probability
experimental probability
9
group of people you are trying to get information about
victim
quota
sample
population