STATS EXTRA CREDIT

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Across
  1. 1. 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
  2. 3. type of visual display which shows the 5 # summary
  3. 5. a variable that is not being studied but affects the way the studied variables appear to be related
  4. 9. type of variable that would be represented by all number values
  5. 10. percent of data on a normal curve at or below a certain data value
  6. 12. this is the part of the confidence interval formula which comes after the +-
  7. 13. right shape where the tail stretches to the higher values
  8. 14. sampling design in which individuals are chosen based on who is easily able to reach
  9. 15. individuals can choose to participate or not
  10. 17. For each additional x value, we can expect the y value to change by this number
  11. 18. difference between the maximum and minimum value
  12. 20. coefficient a value between -1 and +1 which shows the strength and direction of a linear scatterplot
  13. 21. difference between the actual data value and the predicted value
  14. 23. one less than your sample size
  15. 24. in an experiment if the subjects nor experimenter know which group got which treatment
Down
  1. 2. Q3 +1.5IQR and Q1-1.5IQR
  2. 4. if a data point lies above a line of best fit it has this type of residual
  3. 6. type of bias in which some subgroups are not represented in the sample
  4. 7. sample drawn by selecting every nth person
  5. 8. a fake treatment given to ensure blindness in an experiment
  6. 11. a point that if omitted results in a different regression model
  7. 13. when describing a distribution of quantitative variables these are the 3 things you should describe in your write up
  8. 16. type of bias in which the wording of the question can change the way people answer
  9. 19. deviation square root of the variance
  10. 22. a sampling design in which people are picked from each subgroup of the population