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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 quantitative data values in a way that sketches the distribution of the data






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






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






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






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






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






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






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






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






10. The best defense against bias - in which each individual is given a fair - random chance of selection






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






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






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






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






15. A distribution that's roughly flat






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






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






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






19. The ____ we care about most is straight






20. 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






21. The number of individuals in a sample






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






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






24. Ideally tells who was measured - what was measured - how the data were collected - where the data were collected - and when and why the study was performed






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






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






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






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






29. Displays data that change over time






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






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

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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. 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






34. The difference between the first and third quartiles






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






36. 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






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






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






39. Holds information about the same characteristic for many cases






40. 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






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






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






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






44. When either those who could influence or evaluate the results is blinded






45. 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






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






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






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. Numerically valued attribute of a model