Post on 04-Jan-2016
AP STATS EXAM REVIEW
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Chapter 8Chapter 13
and 14Chapter 11
and 12
Chapter 9 and Chapter 10
Chapter 7
This type of variable has a
countable number of
outcomes
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Discrete
The normal distribution is this type of
probability distribution
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continuous
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
This is how to find
the mean of a discrete distribution
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Chapter 7 400 Points
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The sum of each x multiplied by its
probability
Chapter 7 400 Points
σ2 of a + bx equals
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Chapter 7 500 Points
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b2σ2
Chapter 7 500 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
Chapter 8 100 Points
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N, p, r
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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geometric
Chapter 8 200 Points
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
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Chapter 8 300 Points
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.85(.2) = .0655
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
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Binomialcdf(10, .05, 1) = .9138
Chapter 8 400 Points
The four conditions which make a situation
binomial
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Chapter 8 500 Points
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Two outcomes (success and failure),
fixed number of trials, independent
trials, same probability for each trial
Chapter 8 500 Points
This rule states that for a large sample size
the sampling distribution of x-bar if
approximately normal
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Chapter 9 100 Points
Chapter 9 and 10 100 Points
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Central limit theorem
Chapter 9 and 10 200 Points
This is how you check if the sampling
distribution of p-hat is normal
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np greater than or equal to 10
Chapter 9/10 200 Points
Chapter 9/10 300 Points
This is the definition of a type I error
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Chapter 9/10 300 Points
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Rejecting the null hypothesis when it
is actually true
Meaning of a type II error
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Chapter 9/10 400 Points
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We accept the null hypothesis but it is
actually false
Chapter 3/4 400 Points
This is the probability that a test will
reject the null when it is not true
(correct decision)
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Chapter 9/10500 Points
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power
Chapter 9/10 500 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
Chapter 11/12 100 Points
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n-1
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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matched pairs
Chapter 11/12 200 Points
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
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2.576
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
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2.045
Chapter 11/12 400 Points
This is the statistic for a two sample
proportion test
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Chapter 11/12 500 Points
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Phat 1 – phat 2
Chapter 11/12 500 Points
This is the null hypothesis for a chi-
square goodness of fit
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Chapter 13/14 100 Points
Chapter 13/14 100 Points
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The population proportions equal the
hypothesized values
Chapter 13/14 200 Points
This is how to find the expected value
on in a two-way table
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(row total x column total)/ table total
Chapter 13/14 200 Points
Chapter 13/14 300 Points
This is the one condition for a chi-
squared test
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Chapter 13/14 300 Points
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all expected values are greater than or
equal to 5
This is the number of degrees of
freedom in a slope test
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Chapter 13/14 400 Points
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N - 2
Chapter 13/14 400 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
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T = b/SEb
Chapter 13/14 500 Points
The Daily Double
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