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AP STATS EXAM REVIEW 500 400 300 200 100 Chapter 2 Chapter 6Chapter 5Chapter 3 and Chapter 4 Chapter 1.

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Presentation on theme: "AP STATS EXAM REVIEW 500 400 300 200 100 Chapter 2 Chapter 6Chapter 5Chapter 3 and Chapter 4 Chapter 1."— Presentation transcript:

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2 AP STATS EXAM REVIEW

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

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

5 Shape, center, spread

6 These four graphs may only be used for quantitative data Categories

7 Stemplot, boxplot, histogram, and dotplot

8 This distribution shape has the mean greater than the median Categories

9 Skewed right

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

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

12 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 Chapter 1 500 Points

13 Categories Standard deviation Chapter 1 500 Points

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

15 Categories 95% of the data is within 2 standard deviations

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

17 (x-bar – mean)/standard devation Chapter 2 200 Points

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

19 Chapter 2 300 Points Categories

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

21 Categories 1.52 Chapter 2 400 Points

22 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 Chapter 2 500 Points

23 Categories 2.94% Chapter 2 500 Points

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

25 Chapter ¾ 100 Points Categories Yhat = a + bx

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

27 (xbar, ybar) Chapter 3/4 200 Points

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

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

30 Formula for a residual Categories Chapter 3/4 400 Points

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

32 This transformation uses the log of the y’s Categories Chapter 3/4 500 Points

33 Categories exponential Chapter 3/4 500 Points

34 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 Chapter 5 100 Points

35 Categories blocking

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

37 double blind Chapter 5 200 Points

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

39 Chapter 5 300 Points Categories confounding

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

41 Categories Stratifying Chapter 5 400 Points

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

43 Categories Control, randomization, replication Chapter 5 500 Points

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

45 Categories Mutually exclusive

46 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

47 Independent Chapter 6 200 Points

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

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

50 Two alternate approaches to finding probability Categories Chapter 6 400 Points

51 Categories Tree Diagrams or Venn Diagrams Chapter 6 400 Points

52 An event A will occur with probability 0.5. An event B will occur with probability 0.6. The probability that both A and B will occur is 0.1. This is the probability of A given B Categories Chapter 6 500 Points

53 Categories 1/6 or 16.7% Chapter 6 500 Points

54 The Daily Double Categories


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