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AP STATS EXAM REVIEW
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500 400 300 200 100 Chapter 2 Chapter 6Chapter 5Chapter 3 and Chapter 4 Chapter 1
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These are the three terms you should always discuss when describing a set of data Categories
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Shape, center, spread
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These four graphs may only be used for quantitative data Categories
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Stemplot, boxplot, histogram, and dotplot
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This distribution shape has the mean greater than the median Categories
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Skewed right
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This is the formula for finding outliers in a set of data Categories Chapter 1 400 Points
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Categories Q1 -1.5IQR and Q3 + 1.5IQR Chapter 1 400 Points
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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
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Categories Standard deviation Chapter 1 500 Points
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This is what the 95 means in the 68- 95-99.7 rule Categories Chapter 2 100 Points
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Categories 95% of the data is within 2 standard deviations
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Chapter 2 200 Points this is the formula for the z score of a mean Categories
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(x-bar – mean)/standard devation Chapter 2 200 Points
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Chapter 2 300 Points This is the area to the left of a z-score of 2.34 Categories
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Chapter 2 300 Points Categories
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Probability for a two sided Z-score is 13.1%, this is the z-score Categories Chapter 2 400 Points
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Categories 1.52 Chapter 2 400 Points
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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
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Categories 2.94% Chapter 2 500 Points
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This is the equation for the LSRL Categories Chapter 3/4 100 Points
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Chapter ¾ 100 Points Categories Yhat = a + bx
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Chapter 3/4 200 Points This point is on all LSRL Categories
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(xbar, ybar) Chapter 3/4 200 Points
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Chapter 3/4 300 Points This is the formula for slope Categories
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Chapter 3/4 300 Points Categories B = r(sy/sx)
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Formula for a residual Categories Chapter 3/4 400 Points
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Categories Observed – predicated (y – yhat) Chapter 3/4 400 Points
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This transformation uses the log of the y’s Categories Chapter 3/4 500 Points
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Categories exponential Chapter 3/4 500 Points
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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
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Categories blocking
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Chapter 5 200 Points Term that refers to the fact that neither the subjects nor experimenters know who is receiving what treatment Categories
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double blind Chapter 5 200 Points
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Chapter 5 300 Points A variable that is not able to be separated from the two variables being studied Categories
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Chapter 5 300 Points Categories confounding
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Term that has same meaning as blocking, but is used in a survey, not an experiment Categories Chapter 5 400 Points
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Categories Stratifying Chapter 5 400 Points
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Well-designed experiments have these three principles Categories Chapter 5 500 Points
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Categories Control, randomization, replication Chapter 5 500 Points
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P(A intersection B) = 0 is this property Categories Chapter 6 100 Points
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Categories Mutually exclusive
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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
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Independent Chapter 6 200 Points
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Chapter 6 300 Points Formula for the union of two events Categories
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Chapter 6 300 Points Categories p(A B) = P(A) + P(B) – P(A B)
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Two alternate approaches to finding probability Categories Chapter 6 400 Points
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Categories Tree Diagrams or Venn Diagrams Chapter 6 400 Points
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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
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Categories 1/6 or 16.7% Chapter 6 500 Points
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The Daily Double Categories
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