AP STATS EXAM REVIEW
Chapter 7
Chapter 8
Chapter 9
and
Chapter 10
Chapter 11
and 12
Chapter 13
and 14
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This type of variable has a
countable number of outcomes
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Discrete
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The normal distribution is this type of
probability distribution
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continuous
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This is what the law of large numbers
means
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As the number of observations
increases, the mean of the observed
values eventually approaches the
mean of the population
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Chapter 7
400 Points
This is how to find
the mean of a discrete distribution
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Chapter 7
400 Points
The sum of each x multiplied by its
probability
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Chapter 7
500 Points
σ2 of a + bx equals
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Chapter 7
500 Points
b2σ2
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Chapter 8
100 Points
These are the three pieces of information
you must have in order to find a binomial
probability (put them in order like you
would on your calculator
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Chapter 8
100 Points
N, p, r
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Chapter 8
200 Points
This distribution allows you to find
the probability of having a certain
number of failures before your first
success
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Chapter 8
200 Points
geometric
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Chapter 8
300 Points
A basketball player makes 80% of his
free throws. What is the probability
that he will make 5 shots before he
misses
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Chapter 8
300 Points
.85(.2) = .0655
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Chapter 8
400 Points
Suppose you purchase a bundle of 10 bare-root broccoli
plants. The sales clerk tells you that on average you can
expect 5% of the plants to die. Find the probability that
you will lose at most one of the broccoli plants.
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Chapter 8
400 Points
Binomialcdf(10, .05, 1) = .9138
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Chapter 8
500 Points
The four conditions which make a situation
binomial
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Chapter 8
500 Points
Two outcomes (success and failure),
fixed number of trials, independent
trials, same probability for each trial
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Chapter 9
100 Points
This rule states that for a large sample size
the sampling distribution of x-bar if
approximately normal
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Chapter 9 and 10
100 Points
Central limit theorem
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Chapter 9 and 10
200 Points
This is how you check if the sampling
distribution of p-hat is normal
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Chapter 9/10
200 Points
np greater than or equal to 10
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Chapter 9/10
300 Points
This is the definition of a type I error
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Chapter 9/10
300 Points
Rejecting the null hypothesis when it
is actually true
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Chapter 9/10
400 Points
Meaning of a type II error
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Chapter 3/4
400 Points
We accept the null hypothesis but it is
actually false
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Chapter 9/10
500 Points
This is the probability that a test will
reject the null when it is not true
(correct decision)
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Chapter 9/10
500 Points
power
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Chapter 11/12
100 Points
This is the number of degrees of
freedom for a one or two sample mean
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Chapter 11/12
100 Points
n-1
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Chapter 11/12
200 Points
This situation requires this type of hypothesis
test: to test the effect of background music on
productivity, factory workers are observed. For 1
month they had no background music. For
another month they had background music
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Chapter 11/12
200 Points
matched pairs
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Chapter 11/12
300 Points
This is the standardized statistic for a
99% CI for a proportion
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Chapter 11/12
300 Points
2.576
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Chapter 11/12
400 Points
This is the standardized test statistic
for a 95% CI of a mean with n= 30
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Chapter 11/12
400 Points
2.045
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Chapter 11/12
500 Points
This is the statistic for a two sample
proportion test
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Chapter 11/12
500 Points
Phat 1 – phat 2
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Chapter 13/14
100 Points
This is the null hypothesis for a chi-
square goodness of fit
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Chapter 13/14
100 Points
The population proportions equal the
hypothesized values
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Chapter 13/14
200 Points
This is how to find the expected value
on in a two-way table
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Chapter 13/14
200 Points
(row total x column total)/ table total
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Chapter 13/14
300 Points
This is the one condition for a chi-
squared test
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Chapter 13/14
300 Points
all expected values are greater than or
equal to 5
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Chapter 13/14
400 Points
This is the number of degrees of
freedom in a slope test
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Chapter 13/14
400 Points
N-2
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Chapter 13/14
500 Points
This is how you find the standard error
of the slope (used in a confidence
interval)
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Chapter 13/14
500 Points
T = b/SEb
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The Daily Double
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