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






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






3. The number of individuals in a sample






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






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






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






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






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






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






10. A study based on data in which no manipulation of factors has been employed






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






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






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






14. Distributions with two modes






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






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






17. 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






18. Design Randomization occurring within blocks






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






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






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






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






23. 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






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






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






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






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






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






29. 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






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






31. 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






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






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






34. Displays data that change over time






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






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






37. Useful family of models for unimodal - symmetric distributions






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






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






40. 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






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






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






43. 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






44. Numerically valued attribute of a model






45. Holds information about the same characteristic for many cases






46. A variable whose values are compared across different treatments






47. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other






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






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






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