Statistics formula sheet, Cheat Sheet of Statistics

Cheat sheet with basic statistics formulas

Typology: Cheat Sheet

2020/2021

Uploaded on 06/11/2021

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Notation
n
sample size
N
population size
ˆ
p
sample proportion
p
population proportion
x
or
x
i
= single observation
summation notation
z=¿
z-score
probability of A
M or
x
sample mean
population mean SS = Sum of Squares
d . f .=¿
degree of freedom
SD2 or
s2=¿
sample variance
σ2=¿
population variance
O
observed frequency
E=¿
expected frequency
SD or
s
sample stdev
population stdev SEM = standard error of the mean
Formulas
x
xn
2
2
( )
1
i
x x
sn
2
( )
1
i
x x
sn
z=´xμ
(
σ
n
)
3 1
IQR Q Q
^
y=b0+b1x
x
N
2
2
( )
i
x
N
σ=
(
xiμ
)
2
N
x
z
Range=Max-Min
y
^
y
Probability
( ) ( ) 1
c
P A P A
( )
( ) ( )
P A B
P A B P B
( ) ( ) ( )P A B P A P B
( ) 0P A B
Conditional Probability Two Independent Events Mutually Exclusive
( ) f
P E N
( ) ( ) ( ) ( )P Aor B P A P B P A B
( ) ( )E x x p x
2
( ) ( )x p x
!
! !
nn
rr n r
( ) (1 )
r n r
n
P X r p p
r
n p
(1 )n p p
Central Limit Theorem
Formula Sheet for Math 155 Statistical Reasoning
pf3

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Notation

n  sample size

N 

population size

p ˆ 

sample proportion

p

population proportion

x

or

x i = single observation

summation notation

z =¿

z-score

P A ( ) 

probability of A

M or

x  sample mean

population mean SS = Sum of Squares d^.^ f^. =¿^ degree of freedom

SD

2

or s

2

=¿ (^) sample variance σ

2

=¿ (^) population variance

O 

observed frequency

E =¿

expected frequency

SD or

s  sample stdev

population stdev SEM = standard error of the mean

Formulas

x

x

n

2

2

i

x x

s

n

2

( )

i

x x

s

n

z =

x ´ − μ

σ

n^

3 1

IQRQQ ^ y = b 0

  • b 1

x

x

N

2

2

i

x

N

σ =

x i

μ )

2

N

x

z

Range=Max-Min

y − ^ y

Probability

c

P AP A

P A B

P A B

P B

P A (  B )  P A ( )  P B ( ) P A (  B )  0

Conditional Probability Two Independent Events Mutually Exclusive

f

P E

N

P Aor B ( )  P A ( )  P B ( )  P A (  B )

  E x ( )  xp x ( )

2

 ( x ) p x ( )

 

n n

r r n r

r n r

n

P X r p p

r

  n  p ^ ^ n^   p^ (1^  p )

Central Limit Theorem

Formula Sheet for Math 155 Statistical Reasoning

X

X

n

z =

´ xμ ´ x

σ ´ x

or

z =

x ´ − μ

(

σ

n^

)

One Population Formulas

Proportion Mean

 

/

point estimate multiplier standard error

p p

p z

n

/

t

point estimate multiplier standard error

s

x

n

 

0

0 0

p p

z

p p

n

, where

^ p =

x

n

  0

x

t

s

n

Two Population Formulas

Proportion Equal Variance df =

1 2

nn  2

 

    1 1 2 2

1 2 /

1 2

p p p p

p p z

n n

    ^ ^

2

1 2 /

1 2

p

x x t s

n n

   

2 2

2 1 1 2 2

1 2

p

n s n s

s

n n

 

1 2

1 2

p p

z

p p

n n

, where

^ p =

x

1

+ x

2

n

1

+ n

2

1 2

2

1 2

p

x x

t

s

n n

, where

   

2 2

2 1 1 2 2

1 2

p

n s n s

s

n n

Mean of Paired Differences Unequal Variance df = min

  1 2

n  1, n  1

/

d

s

d t

n

d

d

t

s

n

 

2 2

1 2

1 2 /

1 2

s s

x x t

n n

  1 2

2 2

1 2

1 2

x x

t

s s

n n

Chi-Square Formulas ANOVA

Expected=

row total ×column total

table total ( n )

( observed - expected)

2

expected

Source DF SS MS F

Groups k-

SSG=

 

2

i i

n xx

SSG

k

MSG

MSE

Error N-

k SSE=^

 

2

1 i i

ns

SSE

Nk

Total N-

1