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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 quantity or amount adopted as a standard of measurement - such as dollars - hours - or grams






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






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






4. 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






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






6. Numerically valued attribute of a model






7. Distributions with more than two modes






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






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






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






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






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






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






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






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






16. A variable whose levels are controlled by the experimenter






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






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






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






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






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






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






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






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






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






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






27. Doing this is equivalent to changing its units






28. Control - randomize - replicate - block






29. A scatterplot shows an association that is this if there is little scatter around the underlying relationship






30. A variable whose values are compared across different treatments






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






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






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






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






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






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






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






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






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






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






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






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






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






44. An individual about whom or which we have data






45. A distribution is this if it's not symmetric and one tail stretches out farther than the other






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






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






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






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






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