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






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






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






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






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






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






7. A variable whose values are compared across different treatments






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






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






10. 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






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






12. This - b0 - gives a starting value in y-units; it's the y-hat-value when x is 0






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






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






15. 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






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






17. 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






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






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






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






21. 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






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






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






24. Distributions with two modes






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






26. The square root of the variance






27. 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






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






29. Models random events by using random numbers to specify event outcomes with relative frequencies that correspond to the true real-world relative frequencies we are trying to model






30. An individual about whom or which we have data






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






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






33. 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






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






35. An individual result of a component of a simulation






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






37. The number of individuals in a sample






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






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






40. 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






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






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






43. Anything in a survey design that influences response






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






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






46. Useful family of models for unimodal - symmetric distributions






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






48. A sample that consists of the entire population






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






50. Having one mode; this is a useful term for describing the shape of a histogram when it's generally mound-shaped







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