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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. The specific values that the experimenter chooses for a factor






2. Shows quantitative data values in a way that sketches the distribution of the data






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






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






5. The lower of this is the value with a quarter of the data below it; the upper of this has a quarter of the data above it






6. Design Randomization occurring within blocks






7. 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






8. Anything in a survey design that influences response






9. Shows how a 'whole' divides into categories by showing a wedge of a circle whose area corresponds to the proportion in each category






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






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






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






13. A variable whose levels are controlled by the experimenter






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






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






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






17. 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






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






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






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






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






22. When averages are taken across different groups - they can appear to contradict the overall averages

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






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






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






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






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






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






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






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






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






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






33. A variable in which the numbers act as numerical values; always has units






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






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






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






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






38. 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






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






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






41. Consists of the individuals who are conveniently available






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. An individual result of a component of a simulation






44. A variable other than x and y that simultaneously affects both variables - accounting for the correlation between the two






45. Any data point that stands away from the others; can be extraordinary by having a large residual or by having high leverage






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






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






48. Individuals on whom an experiment is performed






49. A numerical summary of how tightly the values are clustered around the 'center'






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