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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. Tells how many standard deviations a value is from the mean; have a mean of zero and a standard deviation of one






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






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






4. A sample drawn by selecting individuals systematically from a sampling frame






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






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






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






8. The number of individuals in a sample






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






10. 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






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






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






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






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






15. A variable whose levels are controlled by the experimenter






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






17. Data points whose x-values are far from the mean of x are said to exert ____ on a linear model; with high enough ____ - residuals can appear to be deceptively small






18. Uses adjacent bars to show the distribution of vales in a quantitative variable; each bar represents the frequency (or relative frequency) of values falling in an interval of values






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






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






21. Summarized with the mean or the median






22. A distribution that's roughly flat






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






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






25. A sample that consists of the entire population






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






27. 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






28. Systematically recorded information - whether numbers or labels - together with its context






29. 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






30. Bias introduced to a sample when individuals can choose on their own whether to participate in the sample






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






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






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






34. Value found by subtracting the mean and dividing by the standard deviation






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






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






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






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






39. Distributions with more than two modes






40. Sampling schemes that combine several sampling methods






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






42. 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






43. An equation or formula that simplifies and represents reality






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






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






46. Adding a constant to each data value adds the same constant to the mean - the median - and the quartiles - but does not change the standard deviation or IQR






47. An individual about whom or which we have data






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






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






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






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