AP Statistics Formula Sheet, Cheat Sheet of Statistics

Descriptive Statistics, Probability and Inferential Statistics formulas

Typology: Cheat Sheet

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AP Statistics Formula Sheet
(I) Descriptive Statistics
2
2
1
1
2
1
1
21
2
22
2
11
2
)(
2
)
ˆ
(
1
1
)(
))((
ˆ
)1()1(
)1()1(
)(
1
1
1xx
n
yy
s
s
s
rb
s
yy
s
xx
n
r
xbyb
xx
yyxx
b
xbby
nn
snsn
s
xx
n
s
n
x
x
i
ii
b
x
y
y
i
x
i
o
i
ii
o
p
ix
i
(II) Probability
P(A
B) = P(A) + P(B) P(A ∩ B)
P(A | B) =
)(
)(
BP
BAP
E(X) =
iix px
Var(X) =
ixix px 22 )(
If X has a binomial distribution with
Parameters n and p, then:
P(X = k) =
k
n
pk (1 p)nk
µx = np
)1( pnp
x
n
pp
p
p
p
)1(
ˆ
ˆ
If
is the mean of a random sample of size n
from an infinite population with mean µ and
standard deviation σ, then:
x
n
x
pf2
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AP Statistics Formula Sheet

(I) Descriptive Statistics

2

2

1

1

(^12)

1

1 2

2 2 2

2 1 1

2

1 x x

n

y y

s

s

s b r

s

y y

s

x x

n

r

b y bx

x x

x x y y b

y b bx

n n

n s n s s

x x n

s

n

x x

i

i i

b

x

y

y

i

x

i

o

i

i i

o

p

x i

i

(II) Probability

P(A  B) = P(A) + P(B) – P(A ∩ B)

P(A | B) =

P B

P A  B

E(X) = x xipi

Var(X) = x xi x pi

2 2

If X has a binomial distribution with

Parameters n and p , then:

P(X = k ) =

k

n

p

k

(1 – p )

n–k

μx = np

x np (^1 p )

n

p p

p

p

p

ˆ

ˆ

If x is the mean of a random sample of size n

from an infinite population with mean μ and

standard deviation σ, then:

x

n

x

(III) Inferential Statistics

Standardized test statistic: statistic – parameter

standard deviation of statistic

Confidence interval: statistic ± (critical value) • (standard deviation of statistic)

Single–Sample

Statistic Standard Deviation

Of Statistic

Sample Mean

n

Sample Proportion

n

p ( 1 p )

Two–Sample

Statistic Standard Deviation

Of Statistic

Difference of

sample means

2

2 2

1

2 1

n n

Special case when 1 2

1 2

n n

Difference of

sample proportions

2

2 2

1

1 (^11 ) (^1 )

n

p p

n

p p

Special case when p 1 = p 2

1 2

n n

p p

Chi-square test statistic =

ected

observed ected

exp

( exp )

2