Statistics S2 Final

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Across
  1. 5. the variability we expect to see from one random sample to another
  2. 6. study based on data in which no manipulation of factors has been employed
  3. 9. this variable is not immediately evident but impacts the relationship of the variables being studied
  4. 10. a treatment known to have no effect
  5. 11. manipulates factor levels to create treatments
  6. 15. the extent of the interval on either side of the observed statistic
  7. 17. shows the relationship between two quantitative variables measured on the same cases
  8. 21. graphs a dot for each case along a single axis
  9. 22. display consisting of a box between quartiles and "whiskers"
  10. 24. any systematic failure of a sampling method
  11. 26. data point that stands away from the others
  12. 29. recorded values
  13. 30. what we should conclude if we reject the null hypothesis
Down
  1. 1. useful family of models for unimodal, symmetric distributions
  2. 2. difference between observed value and predicted value
  3. 3. mutually exclusive
  4. 4. one tail of a distribution stretches farther than the other
  5. 7. also called a false negative
  6. 8. also called a false positive
  7. 12. numerical measure of the direction and strength of a linear association
  8. 13. if the statistics computed accurately reflect the corresponding population parameters
  9. 14. the claim being assessed in a hypothesis test
  10. 16. summary value about a population
  11. 18. subset of a population
  12. 19. summary value about a sample
  13. 20. the probability of observing a value for a particular test statistic
  14. 23. line of best fit
  15. 25. entire group whom we hope to learn
  16. 27. tells how many standard deviations a value is from the mean
  17. 28. distribution where two halves look approximately like each other