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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 point that does not fit the overall pattern seen in the scatterplot






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






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






4. 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






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






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






7. Sampling schemes that combine several sampling methods






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






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






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






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






12. Anything in a survey design that influences response






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






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






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






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






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






18. Individuals on whom an experiment is performed






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






20. A variable whose levels are controlled by the experimenter






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






22. 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






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






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






25. The distribution of a variable restricting the who to consider only a smaller group of individuals






26. This criterion specifies the unique line that minimizes the variance of the residuals or - equivalently - the sum of the squared residuals






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






28. Distributions with two modes






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






30. Adding a constant to each data value adds the same constant to the mean - the median - and the quartiles - but does not change the standard deviation or IQR






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






32. When doing this - consider their shape - center - and spread






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






34. The natural tendency of randomly drawn samples to differ






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






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






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






38. 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






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






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






41. 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






42. An individual result of a component of a simulation






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






44. Uses adjacent bars to show the distribution of vales in a quantitative variable; each bar represents the frequency (or relative frequency) of values falling in an interval of values






45. An equation or formula that simplifies and represents reality






46. The sum of squared deviations from the mean - divided by the count minus one






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






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






49. 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






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






Can you answer 50 questions in 15 minutes?



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