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






2. 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






3. The experimental units assigned to a baseline treatment level - typically either the default treatment - which is well understood - or a null - placebo treatment






4. 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






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






6. Control - randomize - replicate - block






7. Holds information about the same characteristic for many cases






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






9. A numerical summary of how tightly the values are clustered around the 'center'






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






11. 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






12. In a normal model - about 68% of values fall within 1 standard deviation of the mean - about 95% fall within 2 standard deviations of the mean - and about 99.7% fall within 3 standard deviations of the mean






13. In a retrospective or prospective study Subjects who are similar in ways not under study may be ____ and then compared with each other on the variables of interest






14. The difference between the first and third quartiles






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






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






17. An individual about whom or which we have data






18. 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






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






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






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






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






23. Numerically valued attribute of a model






24. Value calculated from data to summarize aspects of the data






25. When omitting a point from the data results in a very different regression model - the point is an ____






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






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






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






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






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






31. Useful family of models for unimodal - symmetric distributions






32. The specific values that the experimenter chooses for a factor






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






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






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






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






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






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






39. The natural tendency of randomly drawn samples to differ






40. These are hard to generate - but several websites offer an unlimited supply of equally likely random values






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






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






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






44. Individuals on whom an experiment is performed






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






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






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






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






49. A distribution that's roughly flat






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