Casio FX-CG10 - Manual (Page 263)

6-70
k Distribution (Continuous)
Distribution Probability Density Cumulative Distribution
Normal
Distribution
πσ
2
p (x) =
1
e
–
2
2 σ
(x – μ ) 2 μ
( > 0)
σ
p = p ( x ) dx
Upper
Lower
∫
Student- t
Distribution
p (x) =
×
Γ
Γ
× df π
–
df + 1
2
2
df
2
df + 1
df
x 2
1 +
χ
2 Distribution
p (x) =
×
(x
0)
Γ
1
2
df
df
2
× x
2
1
df
2
–1
x
2
– × e
F Distribution
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 Inverse Cumulative Distribution
Normal
Distribution
p = p ( x ) dx
Upper
– ∞
∫
p = p ( x ) dx
Lower
∞ ∫
p = p ( x ) dx
Upper
Lower
∫
tail = Left tail = Right tail = Central
Student- t
Distribution
p = p ( x ) dx
Lower
∞ ∫
χ
2 Distribution
F Distribution