AP Stats: Sampling and surveys/ Causation and Experiment

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bananavocado
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173663
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AP Stats: Sampling and surveys/ Causation and Experiment
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2012-10-07 16:05:55
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AP Stats Sampling surveys Causation Experiment
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AP Stats: Sampling and surveys/ Causation and Experiment
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  1. what is observational study?
    observe individuals and measure variables of interest but do not attempt to influence the response.
  2. what is experiement? 
    impose treatment on individual. 
  3. what's population?
    group trying to study
  4. what's sample?
    the group within the population
  5. what's a census?
    ask everyone in the population
  6. what's sampling?
    cutting/ dividing groups and putting data together. 
  7. what do you use if the population is huge?
    use sampling
  8. what do you use if the population is small?
    census
  9. which is often more accurate? sample or census?
    a carefully conducted sample is often more acurate than a census.
  10. what's a voluntary response sample? g/b?
    bad. examples include call-in-polls, online polls. it has negative opinions and you cannot trust the results.
  11. what's convenience sampling? g/b?
    ex: choosing individuals who are easy to reach.
  12. what's simple random sampling?
    • randomly choose people. 
    • it gives everyone a chance and it avoids favoritism and being biased.

    ex. pulling names out of a hat or assigning numbers.
  13. what's stratisfied random sampling?
    when a whole population is cut up into stratas and you gather the data from SRS.
  14. what's cluster sampling?
    you dividie the population and randomly select clusters. all the individuals in that chosen cluster will be in the sample.
  15. what is sample error?
    refers to the natural variability between samples
  16. when does response bias happen?
    example?
    • when the question leads to misleading results.
    • people don't want to be perceived as having un popular, unsavory or illegal views.
  17. what's undercoverage bias?
    when part of the population is ignored.
  18. what's systematic sampling?
    when choosing a random point to start and then picking every nth person.
  19. what two groups does experiment have?
    treatment group and a control group
  20. what's blocking? 
    example?
    divides the subjects into representative groups. example: blocking by gender, age or race.
  21. what are lurking variables?
    thingsthat are not taken into account.
  22. which 3 experimental designs can you choose from?
    randomized design, blocking design and matched pair design.
  23. what's a well-designed experiment checklist?
    randomization, control group, replication.
  24. what's an experimental unit/subject?
    • unit -> not human
    • subjects -> human
  25. what is a factor?
    it's the explanatory variable

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