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






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






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






4. Control - randomize - replicate - block






5. 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






6. 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






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






8. A variable whose levels are controlled by the experimenter






9. A variable whose values are compared across different treatments






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






11. The linear equation y-hat = b0 + b1x that satisfies the least squares criterion






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






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






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






15. The number of individuals in a sample






16. 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






17. 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






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






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






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






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






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






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






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






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






26. Individuals on whom an experiment is performed






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






28. The square root of the variance






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






30. 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






31. An equation or formula that simplifies and represents reality






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






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






34. Holds information about the same characteristic for many cases






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






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






37. 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






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






39. Numerically valued attribute of a model






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






41. A hump or local high point in the shape of the distribution of a variable; the apparent locations of these can change as the scale of a histogram is changed






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






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






44. An individual result of a component of a simulation






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






46. An observational study in which subjects are followed to observe future outcomes






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






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






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






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