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Flashcards

Chapter 2: Sampling

Erin Vales Statistics English 28 cards

Cards in this deck (28)

  1. 1Samplinga representative of the population that is a group or collection
  2. 2Biasexists wen some individuals are systematically favored over other
    (three types)
  3. 3Response Biasexists when the respondents give inaccurate information (seen in cases where questions involve legal or social issues) or if the interviewer influences the subject to respond in a certain way to the wording of the questions
  4. 4Non response Biasexists when individuals chosen for the sample cannot be contacted or fail or refuse or respond
  5. 5Selection Biasexists when the selection of individuals, groups, or data is not properly randomized, resulting in a sample that is not representative of the entire population
  6. 6Simple random Samplinga list of all possible individuals in the population is made and 'n' subjects are chosen in a way that every set of 'n' subjects has an equal chance of being selected
  7. 7Stratatwo or more groups of similar subjects naturally divided from the population
  8. 8Stratified random samplinga simple random samples that are chosen from stratum groups which are combined to give a complete sample
  9. 9Multistage random samplingthe population is divided into several clusters which are further divided into smaller clusters. Simple random sampling is used to choose several of the clusters and sub-clusters. Then, for each of the smallest sub-clusters, simple random sampling is used to select a group of individuals that will be measured
  10. 10Haphazard samplinga method that involves selecting a sample by some convenient mechanism that does not involve randomization
    - ex. mall surveys
  11. 11Volunteer response samplinga method that involves sampling people to volunteer to be a part of a study
    ex. internet surveys
  12. 12Experimental unitsthe subjects (individuals, units) on which the measurements are made
  13. 13Factorexplanatory variable that causes a change in the response
  14. 14Levelsspecific values of a factor
  15. 15Comparisonall experiments must involve a comparison between two or more groups
  16. 16Treatment group(s)the group of experimental units who receive the treatment (there can be multiple)
  17. 17Control groupthe group of the experimental units who do not receive the treatment (multiple control groups is not required)
  18. 18Placeboa fake treatment that is given to the experimental units in the control group which prevents them from knowing if they received the treatment or not
  19. 19Replicationeach group should contain more than one experimental unit, which should reduce the chance variation in the results
  20. 20Randomizationthe experimental units are randomly chosen to be in the experiment then randomly assigned to the treatment or control groups
  21. 21Blindingthe experimental units do not know what they have been assigned
  22. 22Double-blindingthe experimental units and those conducting the experiment do not know which group the experimental units have been assigned
  23. 23Confoundingthe existence of a factor other than the treatment that makes treatment and control groups different
  24. 24Observational studyrandomly select experimental units to be in the experiment; units are only observed
  25. 25Controlled experimenta designed procedure in which experimental units are randomly selected to be in the experiment and treatment of experimental and control groups is assigned
  26. 26Blocka group of individuals that are known prior to the experiment to be similar in some way that is expected to affect the response to the treatments
  27. 27Block designfor each block, subjects are randomly assigned to the treatments
  28. 28Matched pair designa design when two treatments are compared using a pair of subjects that are a close match

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Data analysis process, bias, sampling
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Erin Vales
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