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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 square of the correlation between y and x; gives the fraction of the variability of y accounted for by the least squares linear regression on x; an overall measure of how successful the regression is in linearly relating y to x






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






3. A variable whose levels are controlled by the experimenter






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






5. A distribution that's roughly flat






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






7. Design Randomization occurring within blocks






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






9. A sample that consists of the entire population






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






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






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






13. 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






14. Summarized with the mean or the median






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






16. The square root of the variance






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






18. 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






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






20. 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






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






22. Bias introduced to a sample when a large fraction of those sampled fails to respond






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






24. Numerically valued attribute of a model






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






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






27. 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






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






29. Individuals on whom an experiment is performed






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






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






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






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






34. A treatment known to have no effect - administered so that all groups experience the same conditions






35. An equation or formula that simplifies and represents reality






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

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






38. 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






39. A variable whose values are compared across different treatments






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






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






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






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






44. An individual about whom or which we have data






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






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






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






48. 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






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






50. 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