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. The number of individuals in a sample






2. The square root of the variance






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






4. 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






5. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____






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






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






8. Distributions with two modes






9. 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






10. 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






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






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






13. The most basic situation in a simulation in which something happens at random






14. Numerically valued attribute of a model






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






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






17. Anything in a survey design that influences response






18. We do this by taking the logarithm - the square root - the reciprocal - or some other mathematical operation on all values in the data set






19. The best defense against bias - in which each individual is given a fair - random chance of selection






20. 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






21. Design Randomization occurring within blocks






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






23. Summarized with the mean or the median






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






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






26. A variable that is not explicitly part of a model but affects the way the variables in the model appear to be related






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






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






29. Consists of the individuals who are conveniently available






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






31. Data points whose x-values are far from the mean of x are said to exert ____ on a linear model; with high enough ____ - residuals can appear to be deceptively small






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






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






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






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






36. A sampling scheme that biases the sample in a way that gives a part of the population less representation than it has in the population






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






38. An equation of the form y-hat = b0 + b1x






39. A variable whose values are compared across different treatments






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






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






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






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






44. 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






45. A study based on data in which no manipulation of factors has been employed






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






47. The natural tendency of randomly drawn samples to differ






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






49. Displays data that change over time






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