6-71
k Distribution (continue)
Distribution Densité d’une probabilité
Distribution cumulative
Distribution
normale
πσ
2
p(x) =
1
e
–
2
2
σ
(x – μ)
2
μ
(
> 0)
σ
p = p(x)dx
Upper
Lower
∫
Distribution t
de Student
p(x) =
×
Γ
Γ
× df
π
–
df+1
2
2
df
2
df + 1
df
x
2
1 +
Distribution χ
2
p(x) =
×
(x 0)
Γ
1
2
df
df
2
×
x
2
1
df
2
–1
x
2
–
× e
Distribution
F
ndf
2
x
ddf
ndf
ndf
2
–1
ddf
ndf × x
1 +
ndf + ddf
2
p(x) =
–
Γ
2
ndf + ddf
Γ
2
ndf
× Γ
2
ddf
(x 0)
Distribution
Distribution cumulative inverse
Distribution
normale
p = p(x)dx
Upper
–∞
∫
p = p(x)dx
Lower
∞
∫
p = p(x)dx
Upper
Lower
∫
tail = Left tail = Right tail = Central
Distribution
t
de Student
p = p(x)dx
Lower
∞
∫
Distribution χ
2
Distribution
F
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