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






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






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






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






5. Consists of the individuals who are conveniently available






6. 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






7. The ____ we care about most is straight






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






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






10. This - b0 - gives a starting value in y-units; it's the y-hat-value when x is 0






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






12. Extreme values that don't appear to belong with the rest of the data






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






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






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






16. Data points whose x-values are far from the mean of x are said to exert ____ on a linear model; with high enough ____ - residuals can appear to be deceptively small






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






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






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






20. The natural tendency of randomly drawn samples to differ






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






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






23. Useful family of models for unimodal - symmetric distributions






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






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






26. Bias introduced to a sample when individuals can choose on their own whether to participate in the sample






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






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






29. An equation or formula that simplifies and represents reality






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






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






32. Displays data that change over time






33. Having one mode; this is a useful term for describing the shape of a histogram when it's generally mound-shaped






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






35. A distribution that's roughly flat






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






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






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






39. Any data point that stands away from the others; can be extraordinary by having a large residual or by having high leverage






40. Design Randomization occurring within blocks






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






42. 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






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






44. 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






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






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






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






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






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






50. An individual about whom or which we have data







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