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






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






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






4. 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






5. An individual result of a component of a simulation






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






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






8. Summarized with the mean or the median






9. Distributions with two modes






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






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






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






13. 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






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






15. 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






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






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






18. Doing this is equivalent to changing its units






19. 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






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






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






22. The number of individuals in a sample






23. Numerically valued attribute of a model






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






25. A distribution that's roughly flat






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






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






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






29. The best defense against bias - in which each individual is given a fair - random chance of selection






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






31. A variable whose levels are controlled by the experimenter






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






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






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






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






36. 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






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






38. Design Randomization occurring within blocks






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






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






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






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






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






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






45. An equation or formula that simplifies and represents reality






46. Control - randomize - replicate - block






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






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






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






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