Collecting Data Vocabulary

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Across
  1. 5. _______ sampling; the population falls into naturally occurring subgroups, each representative of the overall population; all members of one or more groups are selected for the study
  2. 8. the population is divided into subsets that share a similar characteristic and proportional counts of members of each group are randomly selected for the study.
  3. 9. occurs when a subject reacts favorably to a placebo when in fact he or she has been given no medicinal treatment at all.
  4. 10. a numerical description of a sample characteristic.
  5. 12. repetition of an experiment using a large group of subjects to improve the validity of experimental results.
  6. 14. consist of information coming from observations, counts, measurements, or responses.
  7. 19. groups of subjects with similar characteristics.
  8. 21. neither the subject nor the experimenter knows if the subject is receiving a treatment or a placebo.
  9. 22. a subset of a population.
  10. 23. a process of randomly assigning subjects to different treatment groups in an effort to obtain unbiased results.
  11. 24. a technique where the subject does not know whether he or she is receiving a treatment or placebo.
  12. 27. the subjects involved in an experiment.
  13. 28. a method of gathering data that uses a mathematical or physical model to reproduce the conditions of a impractical, expensive, or dangerous situation or process.
  14. 29. every possible sample of the same size has the same chance of being selected.
  15. 30. a sampling technique in which each member the population is assigned a number, a starting point is randomly selected, and sample members are chosen at regular intervals from the starting number.
  16. 31. the difference between the results of different samples
Down
  1. 1. _______ sampling; the population is divided into subsets that share a similar characteristic and some members of each group are randomly selected for the study.
  2. 2. the science of collecting, organizing, analyzing, and interpreting data in order to make decisions.
  3. 3. a sampling technique that often leads to biased studies because it consists of only available members of the population. This method is not recommended.
  4. 4. a numerical description of a population characteristic.
  5. 6. _________ variables consist of numerical measurements or counts.
  6. 7. a method of gathering data in which a researcher applies a treatment to part of the population and then observes and measures the responses of interest
  7. 8. _________ variables consist of attributes, labels, or nonnumerical entries.
  8. 11. variable occurs when an experimenter cannot tell the difference between the effects of different factors on a variable.
  9. 13. every member of the population has a equal chance of being selected.
  10. 15. subjects are paired up according to a similarity. One subject in the pair receives one treatment while the other subject receives a different treatment.
  11. 16. the full, overall group from from samples are created
  12. 17. __________ variables can also be called qualitative or nominal
  13. 18. a harmless, unmedicated treatment given to subjects in an experiment; it is made to look like the real treatment.
  14. 20. a method of gathering data in which a researcher observes and measures the characteristics of interest of part of a population
  15. 25. a count or measure of the entire population.
  16. 26. the difference between the results of sampling and those of the population.
  17. 30. a method of gathering data which is an investigation carried out by asking people questions by interview, mail, or telephone.