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






2. An individual result of a component of a simulation






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






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






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






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






7. Summarized with the mean or the median






8. 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






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






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






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






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






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






14. 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






15. Distributions with two modes






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






17. The square root of the variance






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






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






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






21. Useful family of models for unimodal - symmetric distributions






22. Displays counts and - sometimes - percentages of individuals falling into named categories on two or more variables; categorizes the individuals on all variables at once - to reveal possible patterns in one variable that may be contingent on the cate






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






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






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






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






27. 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






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






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






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






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






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






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






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






35. The number of individuals in a sample






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






37. The natural tendency of randomly drawn samples to differ






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






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






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






41. An arrangement of data in which each row represents a case and each column represents a variable






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






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






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






45. Numerically valued attribute of a model






46. 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






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






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






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






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