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Chapter 4 AP Stats

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    Experimental design and sampling techniques
  •   Study   Slideshow
  • A census collects data from everyone in the ___________________.
    population
  •  5
  • In a __________sample, you choose individuals that are easiest to reach.
    Convenience
  •  15
  • Sampling methods sometimes lead to _________. This is when they are likely to overestimate or underestimate the value you want to know.
    bias
  •  20
  • This type of sample gives every possible sample of the same size the same chance of being selected.
    Simple Random Sample
  •  20
  • ___________________ happens when some members of the population are left out or cannot be chosen for the sample.
    undercoverage
  •  20
  • When members of a sample cannot be contacted or refuse to respond, this is called _________________.
    nonresponse
  •  10
  • When people lie in their responses, this is called ____________________.
    response bias
  •  25
  • When the population is broken up into groups and a SRS is chosen from each group, this is called a __________________ sample.
    stratified
  •  20
  • When the population is broken up into groups and a SRS of groups is chosen and all of those group members are in the sample, this is called a _____________ sample.
    cluster
  •  20
  • __________ occurs when you cannot tell if the results are due to the explanatory variable or another lurking variable.
    Confounding
  •  25
  • In an ____________ study, no treatment is administered.
    observational
  •  20
  • Observational studies that examine existing data are called ______________.
    retrospective
  •  25
  • Observational studies that track individuals into the future are called __________.
    prospective
  •  25
  • Experiments impose one or more ______________.
    treatments
  •  10
  • Each treatment is a combination of the levels of the __________variables (also called factors).
    explanatory.
  •  15
  • Some experiments give a ____________ (fake treatment).
    placebo
  •  10