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






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






3. 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






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






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






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






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






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






9. An individual result of a component of a simulation






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






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






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






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






14. Control - randomize - replicate - block






15. Shows a bar representing the count of each category in a categorical variable






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






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






18. Shows the relationship between two quantitative variables measured on the same cases






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






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






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






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






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






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






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. A distribution that's roughly flat






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






28. A display to help assess whether a distribution of data is approximately normal; if it is nearly straight - the data satisfy the nearly normal condition






29. 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






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






31. 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






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






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






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






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






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






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






38. Displays data that change over time






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






40. A variable whose values are compared across different treatments






41. The linear equation y-hat = b0 + b1x that satisfies the least squares criterion






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






43. Numerically valued attribute of a model






44. 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






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






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






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






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






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

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50. Lists the categories in a categorical variable and gives the count or percentage of observations for each category