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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. The difference between the first and third quartiles






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






3. A variable whose values are compared across different treatments






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






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






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






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






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






9. The square root of the variance






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






11. 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






12. Numerically valued attribute of a model






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






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






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






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






17. 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






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






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






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






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






22. Any individual associated with an experiment who is not aware of how subjects have been allocated to treatment groups






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






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






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






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






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






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






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






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






31. A distribution that's roughly flat






32. 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






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






34. 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






35. Summarized with the mean or the median






36. Distributions with two modes






37. The natural tendency of randomly drawn samples to differ






38. An equation or formula that simplifies and represents reality






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






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






41. 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






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






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






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






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






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






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






48. 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






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






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