Test your basic knowledge |

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. The number of individuals in a sample






3. Consists of the individuals who are conveniently available






4. The tendency of many human subjects (often 20% or more of experiment subjects) to show a response even when administered a placebo






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






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






7. 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






8. 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






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






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






11. The square root of the variance






12. 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






13. The natural tendency of randomly drawn samples to differ






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






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






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






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






18. Distributions with more than two modes






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






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






21. A variable whose values are compared across different treatments






22. The lower of this is the value with a quarter of the data below it; the upper of this has a quarter of the data above it






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






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






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






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






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






28. 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






29. Distributions with two modes






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






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






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






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






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






35. 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






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






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






38. Holds information about the same characteristic for many cases






39. A sample that consists of the entire population






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






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






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






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






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






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






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






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






48. 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






49. 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






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