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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 normal model with a mean of 0 and a standard deviation of 1






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






3. Displays data that change over time






4. 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






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






6. A distribution that's roughly flat






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






8. An equation of the form y-hat = b0 + b1x






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






10. A sample that consists of the entire population






11. An equation or formula that simplifies and represents reality






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






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






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






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






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






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






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






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






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






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






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






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






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






25. 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






26. Variables are said to be this if the conditional distribution of one variable is the same for each category of the other






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






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






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






30. Design Randomization occurring within blocks






31. When groups of experimental units are similar - it is a good idea to gather them together into these






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






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






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






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






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






37. Sampling schemes that combine several sampling methods






38. Numerically valued attribute of a model






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






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






41. 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






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






43. Shows quantitative data values in a way that sketches the distribution of the data






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






45. A variable whose levels are controlled by the experimenter






46. Distributions with two modes






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






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






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






50. The natural tendency of randomly drawn samples to differ