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






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






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






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






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






6. Summarized with the mean or the median






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






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






9. Systematically recorded information - whether numbers or labels - together with its context






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






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






12. 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






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






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






15. 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






16. When groups of experimental units are similar - it is a good idea to gather them together into these






17. The sum of squared deviations from the mean - divided by the count minus one






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






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






20. 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






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






22. The difference between the first and third quartiles






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






24. 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






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






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






27. Displays the 5-number summary as a central box with whiskers that extend to the non-outlying data values






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






29. A distribution that's roughly flat






30. 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






31. An equation or formula that simplifies and represents reality






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






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






34. A variable whose values are compared across different treatments






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






36. 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






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






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






39. 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






40. A sample that consists of the entire population






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






42. Numerically valued attribute of a model






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






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






45. Design Randomization occurring within blocks






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






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






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






49. Sampling schemes that combine several sampling methods






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







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