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






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






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






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






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






6. This criterion specifies the unique line that minimizes the variance of the residuals or - equivalently - the sum of the squared residuals






7. A variable whose levels are controlled by the experimenter






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






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






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






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






12. 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






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






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






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






16. Numerically valued attribute of a model






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






18. The ____ we care about most is straight






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






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






21. Individuals on whom an experiment is performed






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






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






24. The natural tendency of randomly drawn samples to differ






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






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






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






28. 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






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






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






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






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






33. A variable whose values are compared across different treatments






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






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






36. A sample that consists of the entire population






37. Doing this is equivalent to changing its units






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






39. We do this by taking the logarithm - the square root - the reciprocal - or some other mathematical operation on all values in the data set






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






41. Sampling schemes that combine several sampling methods






42. 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






43. A distribution that's roughly flat






44. The number of individuals in a sample






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






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






47. 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






48. Consists of the individuals who are conveniently available






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






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







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