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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. Value found by subtracting the mean and dividing by the standard deviation






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






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






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






5. Consists of the minimum and maximum - the quartiles Q1 and Q3 - and the median






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






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






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






9. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum






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






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






12. An observational study in which subjects are selected and then their previous conditions or behaviors are determined






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






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






15. An observational study in which subjects are followed to observe future outcomes






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






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






18. A numerical measure of the direction and strength of a linear association






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






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






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






22. The square root of the variance






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






24. 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






25. The distribution of either variable alone in a contingency table; the counts or percentages are the totals found in the margins (last row or column) of the table






26. 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






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






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






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






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






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






32. Doing this is equivalent to changing its units






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






34. 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






35. A normal model with a mean of 0 and a standard deviation of 1






36. Although linear models provide an easy way to predict values of y for a given value of x - it is unsafe to predict for values of x far from the ones used to find the linear model equation; predictions should not be trusted






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






38. 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






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






40. 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






41. Control - randomize - replicate - block






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






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






44. A distribution that's roughly flat






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






46. A sample that consists of the entire population






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. An equation or formula that simplifies and represents reality






49. The differences between data values and the corresponding values predicted by the regression model; ____ = observed value - predicted value






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