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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 variable whose levels are controlled by the experimenter






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






3. The natural tendency of randomly drawn samples to differ






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






5. 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






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






7. Useful family of models for unimodal - symmetric distributions






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






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






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






11. An equation or formula that simplifies and represents reality






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






13. Design Randomization occurring within blocks






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






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






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






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






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






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






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






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






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






23. A list of individuals from whom the sample is drawn






24. Consists of the minimum and maximum - the quartiles Q1 and Q3 - and the median






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






26. 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






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






28. 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






29. Individuals on whom an experiment is performed






30. 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






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






32. 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






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






34. An individual result of a component of a simulation






35. 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






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






37. The number of individuals in a sample






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






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






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






41. Displays data that change over time






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






43. 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






44. Control - randomize - replicate - block






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






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






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






48. Consists of the individuals who are conveniently available






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






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







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