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