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






2. 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






3. An individual about whom or which we have data






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






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






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






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






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






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






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






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






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






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






14. The parts of a distribution that typically trail off on either side; they can be characterized as long or short






15. 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






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






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






18. Sampling schemes that combine several sampling methods






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






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






21. Summarized with the mean or the median






22. Lists the categories in a categorical variable and gives the count or percentage of observations for each category






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






24. Consists of the individuals who are conveniently available






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






26. A variable whose values are compared across different treatments






27. 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






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






29. The number of individuals in a sample






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






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






32. Holds information about the same characteristic for many cases






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






34. The difference between the first and third quartiles






35. Anything in a survey design that influences response






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






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






38. The square root of the variance






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






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






41. A positive ____ or association means that - in general - as one variable increases - so does the other; when increases in one variable generally correspond to decreases in the other - the association is negative






42. Numerically valued attribute of a model






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






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






45. 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






46. The natural tendency of randomly drawn samples to differ






47. 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






48. Summarized with the standard deviation - interquartile range - and range






49. Distributions with more than two modes






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