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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 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






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






3. 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






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






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






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






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






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






9. In a retrospective or prospective study Subjects who are similar in ways not under study may be ____ and then compared with each other on the variables of interest






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






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






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






13. The ____ we care about most is straight






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






15. The difference between the first and third quartiles






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






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






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






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






20. Anything in a survey design that influences response






21. Holds information about the same characteristic for many cases






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






23. 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






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






25. Doing this is equivalent to changing its units






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






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






28. An individual result of a component of a simulation






29. When an observed difference is too large for us to believe that is is likely to have occurred naturally






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






31. When either those who could influence or evaluate the results is blinded






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






33. 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






34. Consists of the individuals who are conveniently available






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






36. Distributions with more than two modes






37. 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






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






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






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. Extreme values that don't appear to belong with the rest of the data






42. A distribution that's roughly flat






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






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






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






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






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






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






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






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







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