Fun With Statistics

4. standardizing into z-scores changes the ___ by making the mean 0
6. table / displays how the individuals are distributed along each variable, depended on the values of the other variable
7. most accurate graph that represents a frequency distribution
9. ___ plot, best used to see how one variable affects the other
11. _____range, the difference between the quartiles tells us how much territory the middle half of the data covers
13. ladder of___, a collection of re-expression
16. a data point can be called ___ if when you omit it from the analysis it will give a very different model
18. standardizing into z-scores changes the ___ by making the standard deviation 1
20. used to describe an association in a scatterplot, can be described as positive or negative
22. straggler that stand off away from the body of the distribution
23. a hump in the histogram

1. standardized values
2. ___ graph, best used for not continuous data that we have to use to compare and contrast the size of the categories
3. ___ variable, a hidden variable that stands behind a relationship and determines it by simultaneously affecting the other two variables
5. how much each value has been measured
6. measures the strength of the linear association between two quantitative variables
8. ___ chart, best used for categorical data which helps you understand what percentage each of these category constitutes.
10. difference between the observed value and its associated predicted value
12. if a data point's x-value is far from the mean of the x-values, it has high ___
14. characteris recorded about each individual
15. standardizing into z-scores does not change the ___ of the distribution of a variable
17. ___ model, an equation of a straight line through the data
19. a histogram that doesn't appear to have any mode and in which all the bars are approximately the same height
21. ___ model, "bell-shaped curves", a distribution whose shape is unimodal androughly symmetric