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AP Statistics Vocab

Subjects : statistics, ap
Instructions:
  • Answer 50 questions in 15 minutes.
  • If you are not ready to take this test, you can study here.
  • Match each statement with the correct term.
  • Don't refresh. All questions and answers are randomly picked and ordered every time you load a test.

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 parts of a distribution that typically trail off on either side; they can be characterized as long or short






2. Numerically valued attribute of a model






3. Graphs a dot for each case against a single axis






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






5. Anything in a survey design that influences response






6. The distribution of either variable alone in a contingency table; the counts or percentages are the totals found in the margins (last row or column) of the table






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






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






9. The process - intervention - or other controlled circumstance applied to randomly assigned experimental units






10. Data points whose x-values are far from the mean of x are said to exert ____ on a linear model; with high enough ____ - residuals can appear to be deceptively small






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






12. In a retrospective or prospective study Subjects who are similar in ways not under study may be ____ and then compared with each other on the variables of interest






13. Bias introduced to a sample when a large fraction of those sampled fails to respond






14. Places in order the effects that many re-expressions have on the data






15. A sampling design in which entire groups are chosen at random






16. The differences between data values and the corresponding values predicted by the regression model; ____ = observed value - predicted value






17. A point that does not fit the overall pattern seen in the scatterplot






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






19. A sample that consists of the entire population






20. An observational study in which subjects are selected and then their previous conditions or behaviors are determined






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






22. Ideally tells who was measured - what was measured - how the data were collected - where the data were collected - and when and why the study was performed






23. The difference between the lowest and highest values in a data set






24. The lower of this is the value with a quarter of the data below it; the upper of this has a quarter of the data above it






25. Done to eliminate units; values can be compared and combined even if the original variables had different units and magnitudes






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






27. The sum of squared deviations from the mean - divided by the count minus one






28. Summarized with the mean or the median






29. A variable in which the numbers act as numerical values; always has units






30. Tells how many standard deviations a value is from the mean; have a mean of zero and a standard deviation of one






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






32. An individual result of a component of a simulation






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






34. An observational study in which subjects are followed to observe future outcomes






35. A study that asks questions of a sample drawn from some population in the hope of learning something about the entire population






36. The sequence of several components representing events that we are pretending will take place






37. Any data point that stands away from the others; can be extraordinary by having a large residual or by having high leverage






38. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum






39. Consists of the minimum and maximum - the quartiles Q1 and Q3 - and the median






40. Found by substituting the x-value in the regression equation; they're the values on the fitted line






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






42. The number of individuals in a sample






43. The ith ___ is the number that falls above i% of the data






44. Doing this is equivalent to changing its units






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






46. To be valid - an experiment must assign experimental units to treatment groups at random






47. When doing this - consider their shape - center - and spread






48. Systematically recorded information - whether numbers or labels - together with its context






49. A distribution that's roughly flat






50. The experimental units assigned to a baseline treatment level - typically either the default treatment - which is well understood - or a null - placebo treatment







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