2024年4月30日发(作者：)
Title
normal()—Cumulatives,reversecumulatives,anddensities
Syntax
Diagnostics
Description
Alsosee
RemarksandexamplesConformability
Syntax
Gaussiannormal
d
d
d
p
z
ln(d)
ln(d)
ln(d)
ln(p)
Binormal
p=
binormal(
z
1
,
z
2
,
rho
)
Beta
d
p
q
x
x
Binomial
pk
p
q
pi
pi
Chi-squared
p
d
q
x
x
=
=
=
=
=
=
=
=
=
=
=
=
=
=
=
=
=
=
=
=
=
=
=
=
normalden(
z
)
normalden(
x
,
sd
)
normalden(
x
,
mean
,
sd
)
normal(
z
)
invnormal(
p
)
lnnormalden(
z
)
lnnormalden(
x
,
sd
)
lnnormalden(
x
,
mean
,
sd
)
lnnormal(
z
)
betaden(
a
,
b
,
x
)
ibeta(
a
,
b
,
x
)
ibetatail(
a
,
b
,
x
)
invibeta(
a
,
b
,
p
)
invibetatail(
a
,
b
,
q
)
binomialp(
n
,
k
,
pi
)
binomial(
n
,
k
,
pi
)
binomialtail(
n
,
k
,
pi
)
invbinomial(
n
,
k
,
p
)
invbinomialtail(
n
,
k
,
q
)
chi2(
df
,
x
)
chi2den(
df
,
x
)
chi2tail(
df
,
x
)
invchi2(
df
,
p
)
invchi2tail(
df
,
q
)
Dunnett’smultiplerange
p=
dunnettprob(
k
,
df
,
x
)
x=
invdunnettprob(
k
,
df
,
p
)
1
2normal()—Cumulatives,reversecumulatives,anddensities
F
d
p
q
f
f
Gamma
d
p
q
x
x
dg/da
dg/dx
d2g/da2
d2g/dadx
d2g/dx2
Hypergeometric
pk=
hypergeometricp(
N
,
K
,
n
,
k
)
p=
hypergeometric(
N
,
K
,
n
,
k
)
Negativebinomial
pk
p
q
pi
pi
Noncentralbeta
d=
nbetaden(
a
,
b
,
np
,
x
)
p=
nibeta(
a
,
b
,
np
,
x
)
x=
invnibeta(
a
,
b
,
np
,
p
)
Noncentralchi-squared
p=
d=
q=
x=
x=
np=
=
=
=
=
=
=
=
=
=
=
=
=
=
=
=
=
=
=
=
=
Fden(
df
1
,
df
2
,
f
)
F(
df
1
,
df
2
,
f
)
Ftail(
df
1
,
df
2
,
f
)
invF(
df
1
,
df
2
,
p
)
invFtail(
df
1
,
df
2
,
q
)
gammaden(
a
,
b
,
g
,
x
)
gammap(
a
,
x
)
gammaptail(
a
,
x
)
invgammap(
a
,
p
)
invgammaptail(
a
,
q
)
dgammapda(
a
,
x
)
dgammapdx(
a
,
x
)
dgammapdada(
a
,
x
)
dgammapdadx(
a
,
x
)
dgammapdxdx(
a
,
x
)
nbinomialp(
n
,
k
,
pi
)
nbinomial(
n
,
k
,
pi
)
nbinomialtail(
n
,
k
,
pi
)
invnbinomial(
n
,
k
,
p
)
invnbinomialtail(
n
,
k
,
q
)
nchi2(
df
,
np
,
x
)
nchi2den(
df
,
np
,
x
)
nchi2tail(
df
,
np
,
x
)
invnchi2(
df
,
np
,
p
)
invnchi2tail(
df
,
np
,
q
)
npnchi2(
df
,
x
,
p
)
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