Statistics for Management and Economics, Ninth Edition
Formulas
Numerical Descriptive techniques
Population mean
N
∑x i =1
i
μ =
N
Sample mean
n
∑x
i =1
i
x=
n
Range
Largest observation - Smallest observation
Population variance
N
∑( x − μ )
i =1
i
2
σ2 =
N
Sample variance
n
∑ (x
i =1
i − x)2
s2 =
n −1
Population standard deviation
σ = σ2
Sample standard deviation
s= s2
Population covariance
, N
∑( x
i =1
i − μ x )( y i − μ y )
σ xy =
N
Sample covariance
n
∑( x
i =1
i − x )( y i − y )
s xy =
n −1
Population coefficient of correlation
σ xy
ρ=
σ xσ y
Sample coefficient of correlation
s xy
r=
sxsy
Coefficient of determination
R2 = r2
Slope coefficient
s xy
b1 =
s x2
y-intercept
b0 = y − b1 x
Probability
Conditional probability
P(A|B) = P(A and B)/P(B)
Complement rule
C
P( A ) = 1 – P(A)
Multiplication rule
P(A and B) = P(A|B)P(B)
Formulas
Numerical Descriptive techniques
Population mean
N
∑x i =1
i
μ =
N
Sample mean
n
∑x
i =1
i
x=
n
Range
Largest observation - Smallest observation
Population variance
N
∑( x − μ )
i =1
i
2
σ2 =
N
Sample variance
n
∑ (x
i =1
i − x)2
s2 =
n −1
Population standard deviation
σ = σ2
Sample standard deviation
s= s2
Population covariance
, N
∑( x
i =1
i − μ x )( y i − μ y )
σ xy =
N
Sample covariance
n
∑( x
i =1
i − x )( y i − y )
s xy =
n −1
Population coefficient of correlation
σ xy
ρ=
σ xσ y
Sample coefficient of correlation
s xy
r=
sxsy
Coefficient of determination
R2 = r2
Slope coefficient
s xy
b1 =
s x2
y-intercept
b0 = y − b1 x
Probability
Conditional probability
P(A|B) = P(A and B)/P(B)
Complement rule
C
P( A ) = 1 – P(A)
Multiplication rule
P(A and B) = P(A|B)P(B)