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






2. 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






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






4. 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






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






6. Numerically valued attribute of a model






7. An equation or formula that simplifies and represents reality






8. 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






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






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






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






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






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






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






15. The natural tendency of randomly drawn samples to differ






16. An individual about whom or which we have data






17. 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






18. A variable that is not explicitly part of a model but affects the way the variables in the model appear to be related






19. The difference between the first and third quartiles






20. A distribution is this if the two halves on either side of the center look approximately like mirror images of each other






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






22. A sample is this if the statistics computed from it accurately reflect the corresponding population parameters






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






24. A sample that consists of the entire population






25. 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






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






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






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






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






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






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






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






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






34. The differences between data values and the corresponding values predicted by the regression model; ____ = observed value - predicted value






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






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






37. 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






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






39. Control - randomize - replicate - block






40. In a normal model - about 68% of values fall within 1 standard deviation of the mean - about 95% fall within 2 standard deviations of the mean - and about 99.7% fall within 3 standard deviations of the mean






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






42. 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






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






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






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






46. A distribution that's roughly flat






47. Useful family of models for unimodal - symmetric distributions






48. The number of individuals in a sample






49. Holds information about the same characteristic for many cases






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