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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 difference between the first and third quartiles






2. The square root of the variance






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






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






5. When averages are taken across different groups - they can appear to contradict the overall averages

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6. A list of individuals from whom the sample is drawn






7. 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






8. 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






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






10. Individuals on whom an experiment is performed






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






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






13. A treatment known to have no effect - administered so that all groups experience the same conditions






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






15. Sampling schemes that combine several sampling methods






16. Any attempt to force a sample to resemble specified attributes of the population






17. Manipulates factor levels to create treatments - randomly assigns subjects to these treatment levels - and then compares the responses of the subject groups across treatment levels






18. Design Randomization occurring within blocks






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






20. Value calculated from data to summarize aspects of the data






21. A sample that consists of the entire population






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






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






24. The natural tendency of randomly drawn samples to differ






25. 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






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






27. A sampling scheme that biases the sample in a way that gives a part of the population less representation than it has in the population






28. The distribution of a variable restricting the who to consider only a smaller group of individuals






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






30. The ____ we care about most is straight






31. Holds information about the same characteristic for many cases






32. All experimental units have an equal chance of receiving any treatment






33. 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






34. Found by summing all the data values and dividing by the count






35. We do this by taking the logarithm - the square root - the reciprocal - or some other mathematical operation on all values in the data set






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






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






38. A variable whose values are compared across different treatments






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






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






41. Control - randomize - replicate - block






42. Although linear models provide an easy way to predict values of y for a given value of x - it is unsafe to predict for values of x far from the ones used to find the linear model equation; predictions should not be trusted






43. 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






44. An individual result of a component of a simulation






45. The most basic situation in a simulation in which something happens at random






46. 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






47. The square of the correlation between y and x; gives the fraction of the variability of y accounted for by the least squares linear regression on x; an overall measure of how successful the regression is in linearly relating y to x






48. Useful family of models for unimodal - symmetric distributions






49. When either those who could influence or evaluate the results is blinded






50. A variable that names categories (whether with words or numerals)