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






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






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






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






5. We do this by taking the logarithm - the square root - the reciprocal - or some other mathematical operation on all values in the data set






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






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






9. The natural tendency of randomly drawn samples to differ






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






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






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






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






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






15. Distributions with more than two modes






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






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






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






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






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






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






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






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. Design Randomization occurring within blocks






25. A variable whose values are compared across different treatments






26. An equation or formula that simplifies and represents reality






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






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






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






30. Summarized with the mean or the median






31. 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






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






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






34. An individual result of a component of a simulation






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






36. Sampling schemes that combine several sampling methods






37. 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






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






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






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






41. The middle value with half of the data above and half below it






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






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






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






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






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






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






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






49. The distribution of either variable alone in a contingency table; the counts or percentages are the totals found in the margins (last row or column) of the table






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