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Across
  1. 2. a fake treatment given to ensure blindness in an experiment
  2. 3. a variable that is not being studied but affects the way the studied variables appear to be related
  3. 5. a type of sample in which every sample has to have the same number of pieces as the original sample and you can only use numbers from the original set
  4. 6. sample drawn by selecting every nth person
  5. 9. percent of data on a normal curve at or below a certain data value
  6. 10. the official name of the Ho
  7. 11. type of visual display which shows the 5 # summary
  8. 12. difference between the actual data value and the predicted value
  9. 14. the name of the cutoff value for deciding to reject vs fail to reject. We use 5%
  10. 16. shape where the tail stretches to the higher values
  11. 18. type of variable that would be represented by all number values
  12. 19. sampling design in which individuals are chosen based on who is easily able to reach
  13. 20. in an experiment if the subjects and experimenter know which group got which treatment
  14. 22. one less than your sample size
  15. 24. this is the part of the confidence interval formula which comes after the +-
  16. 25. square root of the variance
  17. 26. Q3 +1.5IQR and Q1-1.5IQR
  18. 29. a point that if omitted results in a different regression model
  19. 30. type of bias in which some subgroups are not represented in the sample
Down
  1. 1. individuals can choose to participate or not
  2. 4. difference between the maximum and minimum value
  3. 7. if a data point lies above a line of best fit it has this type of residual
  4. 8. coefficient a value between -1 and +1 which shows the strength and direction of a linear scatterplot
  5. 13. when describing a distribution of quantitative variables these are the 3 things you should describe in your write up
  6. 15. the number of standard deviations a value is above or below the mean on a normal curve
  7. 17. type of bias in which the wording of the question can change the way people answer
  8. 21. your favorite stats teacher this year
  9. 23. a sampling design in which people are picked from each subgroup of the population
  10. 27. For each additional x value, we can expect the y value to change by this number
  11. 28. when you rejected the Ho but you made a mistake and should not have