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