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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 lowest and highest values in a data set






2. 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






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






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






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






6. The difference between the first and third quartiles






7. 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






8. The number of individuals in a sample






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






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






12. The ith ___ is the number that falls above i% of the data






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






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






15. When averages are taken across different groups - they can appear to contradict the overall averages

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16. 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






17. 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






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






19. Holds information about the same characteristic for many cases






20. A study that asks questions of a sample drawn from some population in the hope of learning something about the entire population






21. 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






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






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






24. 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






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






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






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






28. Found by substituting the x-value in the regression equation; they're the values on the fitted line






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






30. Summarized with the mean or the median






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






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






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






34. Anything in a survey design that influences response






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






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






37. The distribution of either variable alone in a contingency table; the counts or percentages are the totals found in the margins (last row or column) of the table






38. 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






39. A variable whose values are compared across different treatments






40. Individuals on whom an experiment is performed






41. Consists of the minimum and maximum - the quartiles Q1 and Q3 - and the median






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






43. When doing this - consider their shape - center - and spread






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






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






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






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






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






49. A distribution is this if it's not symmetric and one tail stretches out farther than the other






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