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






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






3. The square root of the variance






4. An equation of the form y-hat = b0 + b1x






5. 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






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






7. 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






8. Distributions with two modes






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






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






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






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






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






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






15. A hump or local high point in the shape of the distribution of a variable; the apparent locations of these can change as the scale of a histogram is changed






16. Distributions with more than two modes






17. 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






18. Doing this is equivalent to changing its units






19. An individual about whom or which we have data






20. When averages are taken across different groups - they can appear to contradict the overall averages

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






22. 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






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






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






25. 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






26. A variable whose values are compared across different treatments






27. The natural tendency of randomly drawn samples to differ






28. Summarized with the mean or the median






29. Sampling schemes that combine several sampling methods






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






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






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






33. 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






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






35. Displays data that change over time






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






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






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






39. Numerically valued attribute of a model






40. A distribution that's roughly flat






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






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






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






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






45. 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






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






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






48. The difference between the first and third quartiles






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






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







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