Test your basic knowledge |

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






2. A sample that consists of the entire population






3. Displays data that change over time






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






5. Consists of the individuals who are conveniently available






6. Each predicted y-hat tends to be fewer standard deviations from its mean than its corresponding x was from its mean






7. A sample drawn by selecting individuals systematically from a sampling frame






8. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other






9. A quantity or amount adopted as a standard of measurement - such as dollars - hours - or grams






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






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






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






13. 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






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






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






16. A representative subset of a population - examined in hope of learning about the population






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






18. The difference between the first and third quartiles






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






20. A positive ____ or association means that - in general - as one variable increases - so does the other; when increases in one variable generally correspond to decreases in the other - the association is negative






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






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






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






24. 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






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






26. 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






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






29. Displays the 5-number summary as a central box with whiskers that extend to the non-outlying data values






30. Numerically valued attribute of a model






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






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






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






34. 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






35. An equation or formula that simplifies and represents reality






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






37. In a statistical display - each data value should be represented by the same amount of area






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






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






40. Sampling schemes that combine several sampling methods






41. A variable whose levels are controlled by the experimenter






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






43. An individual about whom or which we have data






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






45. Control - randomize - replicate - block






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






47. This corresponding to a z-score gives the percentage of values in a standard normal distribution found at that z-score or below






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






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






50. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____