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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. Design Randomization occurring within blocks






2. Displays data that change over time






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






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






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






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






7. The difference between the first and third quartiles






8. When both those who could influence and evaluate the results are blinded






9. Sampling schemes that combine several sampling methods






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






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






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






13. The number of individuals in a sample






14. Anything in a survey design that influences response






15. A distribution that's roughly flat






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






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






18. An equation or formula that simplifies and represents reality






19. To be valid - an experiment must assign experimental units to treatment groups at random






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






21. An individual result of a component of a simulation






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






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






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






25. 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






26. A sample that consists of the entire population






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






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






29. 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






30. 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






31. Summarized with the mean or the median






32. A point that does not fit the overall pattern seen in the scatterplot






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






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






35. 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






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






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






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






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






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






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






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






43. Individuals on whom an experiment is performed






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






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






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






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






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






49. 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






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