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






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






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






4. The ____ we care about most is straight






5. 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






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






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






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






9. 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






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






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






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






13. 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






14. The square root of the variance






15. A sampling design in which entire groups are chosen at random






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






17. Useful family of models for unimodal - symmetric distributions






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






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






20. Sampling schemes that combine several sampling methods






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






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






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






24. A sample that consists of the entire population






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






26. Individuals on whom an experiment is performed






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






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






29. 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






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






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






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






33. A variable whose levels are controlled by the experimenter






34. Although linear models provide an easy way to predict values of y for a given value of x - it is unsafe to predict for values of x far from the ones used to find the linear model equation; predictions should not be trusted






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






36. Design Randomization occurring within blocks






37. The specific values that the experimenter chooses for a factor






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






39. A variable in which the numbers act as numerical values; always has units






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






41. Displays data that change over time






42. 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






43. An observational study in which subjects are selected and then their previous conditions or behaviors are determined






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






45. 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






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






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






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






49. Multiplying each data value by a constant multiplies both the measures of position and the measures of spread by that constant






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