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Cheat sheet with basic statistics formulas
Typology: Cheat Sheet
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Notation
n sample size
population size
p ˆ
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
SD
2
or s
2
=¿ (^) sample variance σ
2
=¿ (^) population variance
observed frequency
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
IQR Q Q ^ y = b 0
x
x
2
2
i
x
σ =
x i
− μ )
2
x
z
Range=Max-Min
y − ^ y
Probability
c
P A P A
Conditional Probability Two Independent Events Mutually Exclusive
f
P Aor B ( ) P A ( ) P B ( ) P A ( B )
E x ( ) x p x ( )
2
( x ) p x ( )
n n
r r n r
r n r
n
P X r p p
r
Central Limit Theorem
Formula Sheet for Math 155 Statistical Reasoning
X
X
n
z =
´ x − μ ´ 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
0
x
t
s
n
Two Population Formulas
Proportion Equal Variance df =
1 2
n n 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
1
2
1
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 x x
k
Error N-
k SSE=^
2
1 i i
n s
N k
Total N-
1