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