Casio GRAPH90+ E Instrukcja Użytkownika Pobierz pdf (Strona 276)

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

1 2 ... 271 272 273 274 275 276 277 278 279 280 281 ... 663 664

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