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AP Statistics Vocab

Subjects : statistics, ap
Instructions:
  • Answer 50 questions in 15 minutes.
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  • Match each statement with the correct term.
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This is a study tool. The 3 wrong answers for each question are randomly chosen from answers to other questions. So, you might find at times the answers obvious, but you will see it re-enforces your understanding as you take the test each time.
1. The experimental units assigned to a baseline treatment level - typically either the default treatment - which is well understood - or a null - placebo treatment






2. When both those who could influence and evaluate the results are blinded






3. A numerically valued attribute of a model for a population






4. Gives the possible values of the variable and the frequency or relative frequency of each value






5. When the levels of one factor are associated with the levels of another factor so their effects cannot be separated






6. This of sample size n is one in which each set of n elements in the population has an equal chance of selection






7. A numerical summary of how tightly the values are clustered around the 'center'






8. Summarized with the standard deviation - interquartile range - and range






9. A sample that consists of the entire population






10. Holds information about the same characteristic for many cases






11. If data consist of two or more groups that have been thrown together - it is usually best to fit different linear models to each group than to try to fit a single model to all of the data






12. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups






13. The best defense against bias - in which each individual is given a fair - random chance of selection






14. The entire group of individuals or instances about whom we hope to learn






15. Uses adjacent bars to show the distribution of vales in a quantitative variable; each bar represents the frequency (or relative frequency) of values falling in an interval of values






16. The linear equation y-hat = b0 + b1x that satisfies the least squares criterion






17. The specific values that the experimenter chooses for a factor






18. The middle value with half of the data above and half below it






19. Control - randomize - replicate - block






20. Adding a constant to each data value adds the same constant to the mean - the median - and the quartiles - but does not change the standard deviation or IQR






21. When omitting a point from the data results in a very different regression model - the point is an ____






22. Anything in a survey design that influences response






23. A display to help assess whether a distribution of data is approximately normal; if it is nearly straight - the data satisfy the nearly normal condition






24. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant






25. Distributions with two modes






26. These are hard to generate - but several websites offer an unlimited supply of equally likely random values






27. Gives a value in 'y-units per x-unit'; changes of one unit in x are associated with changes of b1 units in predicted values of y






28. Values of this record the results of each trial with respect to what we were interested in






29. The tendency of many human subjects (often 20% or more of experiment subjects) to show a response even when administered a placebo






30. Consists of the individuals who are conveniently available






31. A value that attempts the impossible by summarizing the entire distribution with a single number - a 'typical' value






32. Variables are said to be this if the conditional distribution of one variable is the same for each category of the other






33. An arrangement of data in which each row represents a case and each column represents a variable






34. When an observed difference is too large for us to believe that is is likely to have occurred naturally






35. A scatterplot shows an association that is this if there is little scatter around the underlying relationship






36. When groups of experimental units are similar - it is a good idea to gather them together into these






37. A numerical measure of the direction and strength of a linear association






38. Value found by subtracting the mean and dividing by the standard deviation






39. A normal model with a mean of 0 and a standard deviation of 1






40. In a normal model - about 68% of values fall within 1 standard deviation of the mean - about 95% fall within 2 standard deviations of the mean - and about 99.7% fall within 3 standard deviations of the mean






41. Displays counts and - sometimes - percentages of individuals falling into named categories on two or more variables; categorizes the individuals on all variables at once - to reveal possible patterns in one variable that may be contingent on the cate






42. The ____ we care about most is straight






43. A hump or local high point in the shape of the distribution of a variable; the apparent locations of these can change as the scale of a histogram is changed






44. Extreme values that don't appear to belong with the rest of the data






45. A distribution is this if it's not symmetric and one tail stretches out farther than the other






46. An event is this if we know what outcomes could happen - but not which particular values will happen






47. A variable that is not explicitly part of a model but affects the way the variables in the model appear to be related






48. This criterion specifies the unique line that minimizes the variance of the residuals or - equivalently - the sum of the squared residuals






49. An individual result of a component of a simulation






50. To describe this aspect of a distribution - look for single vs. multiple modes - and symmetry vs. skewness







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