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






2. A variable whose levels are controlled by the experimenter






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






4. 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






5. An individual about whom or which we have data






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






7. Summarized with the mean or the median






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






9. 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






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






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






12. Each predicted y-hat tends to be fewer standard deviations from its mean than its corresponding x was from its mean






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






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






15. If data consist of two or more groups that have been thrown together - it is usually best to fit different linear models to each group than to try to fit a single model to all of the data






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






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






18. When omitting a point from the data results in a very different regression model - the point is an ____






19. Distributions with two modes






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






21. 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






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






23. Manipulates factor levels to create treatments - randomly assigns subjects to these treatment levels - and then compares the responses of the subject groups across treatment levels






24. A scatterplot shows an association that is this if there is little scatter around the underlying relationship






25. The best defense against bias - in which each individual is given a fair - random chance of selection






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






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






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






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






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






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






32. This corresponding to a z-score gives the percentage of values in a standard normal distribution found at that z-score or below






33. 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






34. Displays data that change over time






35. An individual result of a component of a simulation






36. Useful family of models for unimodal - symmetric distributions






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






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






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






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






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






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






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






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






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






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






47. 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






48. 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






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






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