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AP STATS EXAM REVIEW

AP STATS EXAM REVIEW

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AP STATS EXAM REVIEW

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  1. AP STATS EXAM REVIEW

  2. Chapter 2 Chapter 1 Chapter 3 and Chapter 4 Chapter 5 Chapter 6 100 100 100 100 100 200 200 200 200 200 300 300 300 300 300 400 400 400 400 400 500 500 500 500 500

  3. These are the three terms you should always discuss when describing a set of data Categories

  4. Shape, center, spread Categories

  5. These four graphs may only be used for quantitative data Categories

  6. Stemplot, boxplot, histogram, and dotplot Categories

  7. This distribution shape has the mean greater than the median Categories

  8. Skewed right Categories

  9. Chapter 1 400 Points This is the formula for finding outliers in a set of data Categories

  10. Chapter 1 400 Points Q1 -1.5IQR and Q3 + 1.5IQR Categories

  11. Chapter 1 500 Points the formula for this measurement that is used to describe a set of data is to subtract the mean from each of the numbers in the data set, square that difference, find the sum of the differences, and then take the square root of the sums Categories

  12. Chapter 1 500 Points Standard deviation Categories

  13. Chapter 2 100 Points This is what the 95 means in the 68-95-99.7 rule Categories

  14. Chapter 2 100 Points 95% of the data is within 2 standard deviations Categories

  15. Chapter 2 200 Points this is the formula for the z score of a mean Categories

  16. Chapter 2 200 Points (x-bar – mean)/standard devation Categories

  17. Chapter 2 300 Points This is the area to the left of a z-score of 2.34 Categories

  18. Chapter 2 300 Points Categories

  19. Chapter 2 400 Points Probability for a two sided Z-score is 13.1%, this is the z-score Categories

  20. Chapter 2 400 Points 1.52 Categories

  21. Chapter 2 500 Points In 2000, the scores of men on the math SAT followed a normal distribution with mean 533 and standard deviation 115. This is the percentage of men who scored 750 or better Categories

  22. Chapter 2 500 Points 2.94% Categories

  23. Chapter 3/4 100 Points This is the equation for the LSRL Categories

  24. Chapter ¾ 100 Points Yhat = a + bx Categories

  25. Chapter 3/4 200 Points This point is on all LSRL Categories

  26. Chapter 3/4 200 Points (xbar, ybar) Categories

  27. Chapter 3/4 300 Points This is the formula for slope Categories

  28. Chapter 3/4 300 Points B = r(sy/sx) Categories

  29. Chapter 3/4 400 Points Formula for a residual Categories

  30. Chapter 3/4 400 Points Observed – predicated (y – yhat) Categories

  31. Chapter 3/4500 Points This transformation uses the log of the y’s Categories

  32. Chapter 3/4 500 Points exponential Categories

  33. Chapter 5 100 Points A deliberate grouping of subjects in an experiment based on a characteristic that you suspect will affect responses to treatments in a systematic way Categories

  34. Chapter 5 100 Points blocking Categories

  35. Chapter 5 200 Points Term that refers to the fact that neither the subjects nor experimenters know who is receiving what treatment Categories

  36. Chapter 5 200 Points double blind Categories

  37. Chapter 5 300 Points A variable that is not able to be separated from the two variables being studied Categories

  38. Chapter 5 300 Points confounding Categories

  39. Chapter 5 400 Points Term that has same meaning as blocking, but is used in a survey, not an experiment Categories

  40. Chapter 5 400 Points Stratifying Categories

  41. Chapter 5 500 Points Well-designed experiments have these three principles Categories

  42. Chapter 5 500 Points Control, randomization, replication Categories

  43. Chapter 6 100 Points P(A intersection B) = 0 is this property Categories

  44. Chapter 6 100 Points Mutually exclusive Categories

  45. Chapter 6 200 Points This means that the occurrence or non-occurrence of one event does not effect the probability that the other event occurs Categories

  46. Chapter 6 200 Points Independent Categories

  47. Chapter 6 300 Points Formula for the union of two events Categories

  48. Chapter 6 300 Points p(A  B) = P(A) + P(B) – P(AB) Categories

  49. Chapter 6 400 Points Two alternate approaches to finding probability Categories

  50. Chapter 6 400 Points Tree Diagrams or Venn Diagrams Categories