Test your basic knowledge |

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. 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






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






3. Places in order the effects that many re-expressions have on the data






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






5. Any systematic failure of a sampling method to represent its population; common errors are voluntary response - undercoverage - nonresponse ____ - and response ____






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






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






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






9. The difference between the first and third quartiles






10. 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






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






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






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






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






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






16. The number of individuals in a sample






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






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






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






20. To be valid - an experiment must assign experimental units to treatment groups at random






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






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






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






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






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






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






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






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






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






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






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






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






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






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






35. Holds information about the same characteristic for many cases






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






37. A sampling design in which the population is divided into several subpopulations - and random samples are then drawn from each stratum






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






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






40. Sampling schemes that combine several sampling methods






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






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






43. This criterion specifies the unique line that minimizes the variance of the residuals or - equivalently - the sum of the squared residuals






44. Individuals on whom an experiment is performed






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






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






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






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






49. Useful family of models for unimodal - symmetric distributions






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