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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. A numerically valued attribute of a model for a population






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






3. The difference between the lowest and highest values in a data set






4. 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






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






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






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






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






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






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






11. The square of the correlation between y and x; gives the fraction of the variability of y accounted for by the least squares linear regression on x; an overall measure of how successful the regression is in linearly relating y to x






12. The difference between the first and third quartiles






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






14. Bias introduced to a sample when a large fraction of those sampled fails to respond






15. 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






16. A numerical measure of the direction and strength of a linear association






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






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






19. A scatterplot shows an association that is this if there is little scatter around the underlying relationship






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






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






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






23. 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






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






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






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






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






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






29. Consists of the individuals who are conveniently available






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






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






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






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






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






35. A variable whose values are compared across different treatments






36. Doing this is equivalent to changing its units






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






38. When the levels of one factor are associated with the levels of another factor so their effects cannot be separated






39. Numerically valued attribute of a model






40. Displays data that change over time






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






42. 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






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






44. A display to help assess whether a distribution of data is approximately normal; if it is nearly straight - the data satisfy the nearly normal condition






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






46. Anything in a survey design that influences response






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






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






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






50. Individuals on whom an experiment is performed







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