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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. Value calculated from data to summarize aspects of the data






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






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






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






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






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






7. A distribution that's roughly flat






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






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






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. 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






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






13. Shows how a 'whole' divides into categories by showing a wedge of a circle whose area corresponds to the proportion in each category






14. Distributions with more than two modes






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






16. A variable other than x and y that simultaneously affects both variables - accounting for the correlation between the two






17. 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






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






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






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






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






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






23. Design Randomization occurring within blocks






24. Holds information about the same characteristic for many cases






25. A variable whose levels are controlled by the experimenter






26. 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






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






28. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters






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






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






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






32. Bias introduced to a sample when individuals can choose on their own whether to participate in the sample






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






34. Numerically valued attribute of a model






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






36. 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






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






38. An equation or formula that simplifies and represents reality






39. Consists of the individuals who are conveniently available






40. Doing this is equivalent to changing its units






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






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






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






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






45. A sample that consists of the entire population






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






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






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






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






50. Individuals on whom an experiment is performed






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