SimReal - Hjelp - Kalkulator - Statistikk UiA Logo

[Hovedmeny] [Eksempel]
Statistikk-funksjoner (skrives direkte inn i displayvinduet):

Funksjon

!
faculty
nor
npr
nbr
ncr
( | )
binom
nkProd
nk
orderback
ordernoback
noorderback
noordernoback

uniform
uniform_e
uniform_v
uniform_c
uniform_cum
uniform_c_12
uniform_cum_12

indicator
indicator_e
indicator_v
indicator_c
indicator_cum
indicator_c_12
indicator_cum_12

bin
bin_e
bin_v
bin_c
bin_cum
bin_c_12
bin_cum_12
binomic
binomic_e
binomic_v
binomic_c
binomic_cum
binomic_c_12
binomic_cum_12

multinomic

geo
geo_e
geo_v
geo_c
geo_cum
geo_c_12
geo_cum_12
geometric
geometric_e
geometric_v
geometric_c
geometric_cum
geometric_c_12
geometric_cum_12

hyp
hyp_e
hyp_v
hyp_c
hyp_cum
hyp_c_12
hyp_cum_12
hypergeometric
hypergeometric_e
hypergeometric_v
hypergeometric_c
hypergeometric_cum
hypergeometric_c_12
hypergeometric_cum_12

po
po_e
po_v
po_c
po_cum
po_c_12
po_cum_12
poisson
poisson_e
poisson_v
poisson_c
poisson_cum
poisson_c_12
poisson_cum_12

ep
ep_12

gamma
gamma_12

normal
normal_12
npd
npd_12
n_01
n_01_12
Syntaks

n!
faculty(n)
nor(n,k)
npr(n,k)
nbr(n,k)
ncr(n,k)
(n|k)
binom(n,k)
nkProd(n,k)
nk(n,k)
orderback(n,k)
ordernoback(n,k)
noorderback(n,k)
noordernoback(n,k)

uniform({array}}
uniform_e({array})
uniform_v({array})
uniform_c(n,{array})
uniform_cum(n,{array})
uniform_c_12(n1,n2,{array})
uniform_cum_12(n1,n2,{array})

indicator(x,p)
indicator_e(p)
indicator_v(p)
indicator_c(x,p)
indicator_cum(x,p)
indicator_c_12(x1,x2,p)
indicator_cum_12(x1,x2,p)

bin(x,n,p)
bin_e(n,p)
bin_v(n,p)
bin_c(x,n,p)
bin_cum(x,n,p)
bin_c_12(x1,x2,n,p)
bin_cum_12(x1,x2n,p)
binomic(x,n,p)
binomic_e(n,p)
binomic_v(n,p)
binomic_c(x,n,p)
binomic_cum(x,n,p)
binomic_c_12(x1,x2,n,p)
binomic_cum_12(x1,x2n,p)



geo(x,p)
geo_e(p)
geo_v(p)
geo_c(x,p)
geo_cum(x,p)
geo_c_12(x1,x2,p)
geo_cum_12(x1,x2,p)
geometric(x,p)
geometric_e(p)
geometric_v(p)
geometric_c(x,p)
geometric_cum(x,p)
geometric_c_12(x1,x2,p)
geometric_cum_12(x1,x2,p)

hyp(x,n,M,N)
hyp_e(n,M,N)
hyp_v(n,M,N)
hyp_c(x,n,M,N)
hyp_cum(x,n,M,N)
hyp_c_12(x1,x2,n,M,N)
hyp_cum_12(x1,x2n,M,N)
hypergeometric(x,n,M,N)
hypergeometric_e(n,M,N)
hypergeometric_v(n,M,N)
hypergeometric_c(x,n,M,N)
hypergeometric_cum(x,n,M,N)
hypergeometric_c_12(x1,x2,n,M,N)
hypergeometric_cum_12(x1,x2n,M,N)

po(x,m)
po_e(m)
po_v(m)
po_c(x,m)
po_cum(x,m)
po_c_12(x1,x2,m)
po_cum_12(x1,x2,m)
poisson(x,m)
poisson_e(m)
poisson_v(m)
poisson_c(x,m)
poisson_cum(x,m)
poisson_c_12(x1,x2,m)
poisson_cum_12(x1,x2,m)

ep(x,a)
ep_12(x1,x2,a)




normal(x,u,d)
normal_12(x1,x2,u,d)
npd(x,u,d)
npd(x1,x2,u,d)
n_01(x)
n_01_12(x1,x2)
Eksempel

4!
faculty(4)
nor(4,3)
npr(4,3)
nbr(4,3)
ncr(4,3)
(3|2)
binom(3,2)
nkProd(3,4)
nk(7,3)
orderback(4,3)
ordernoback(4,3)
noorderback(4,3)
noordernoback(4,3)

















bin(2,3,0.5)
bin_e(3,0.5)
bin_v(3,0.5)
bin_c(2,3,0.5)
bin_cum(2,3,0.5)
bin_c_12(1,2,3,0.5)
bin_cum_12(1,2,3,0.5)
binomic(2,3,0.5)
binomic_e(3,0.5)
binomic_v(3,0.5)
binomic_c(2,3,0.5)
binomic_cum(2,3,0.5)
binomic_c_12(1,2,3,0.5)
binomic_cum_12(1,2,3,0.5)



geo(3,0.5)
geo_e(0.5)
geo_v(0.5)
geo_c(3,0.5)
geo_cum(3,0.5)
geo_c_12(2,3,0.5)
geo_cum_12(2,3,0.5)
geometric(3,0.5)
geometric_e(0.5)
geometric_v(0.5)
geometric_c(3,0.5)
geometric_cum(3,0.5)
geometric_c_12(2,3,0.5)
geometric_cum_12(2,3,0.5)

hyp(3,4,5,10)
hyp_e(4,5,10)
hyp_v(4,5,10)
hyp_c(3,4,5,10)
hyp_cum(3,4,5,10)
hyp_c_12(2,3,4,5,10)
hyp_cum_12(2,3,4,5,10)
hypergeometric(3,4,5,10)
hypergeometric_e(4,5,10)
hypergeometric_v(4,5,10)
hypergeometric_c(3,4,5,10)
hypergeometric_cum(3,4,5,10)
hypergeometric_c_12(2,3,4,5,10)
hypergeometric_cum_12(2,3,4,5,10)

po(7,5)
po_e(5)
po_v(5)
po_c(7,5)
po_cum(7,5)
po_c_12(3,7,5)
po_cum_12(3,7,5)
poisson(7,5)
poisson_e(5)
poisson_v(5)
poisson_c(7,5)
poisson_cum(7,5)
poisson_c_12(3,7,5)
poisson_cum_12(3,7,5)

ep(2,1)
ep(1,2,1)




normal(7,5,1.5)
normal_12(2,7,5,1.5)
npd(7,5,1.5)
npd_12(2,7,5,1.5)
n_01(1.25)
n_01_12(1.25,-1.5)
Svar

= 4*3*2*1 = 24
= 4*3*2*1 = 24
= 64
= 24
= 20
= 4
= 3!/(2!*(3-2)!) =3
= 3!/(2!*(3-2)!) = 3
= 3*3*3*3 = 81
= 7*6*5 = 210
= 64
= 24
= 20
= 4

















= 0.375
= 1.500
= 0.750
= 0.875
= 0.875
= 0.750
= 0.750
= 0.375
= 1.500
= 0.750
= 0.875
= 0.875
= 0.750
= 0.750



= 0.125
= 2.000
= 2.000
= 0.875
= 0.875
= 0.375
= 0.375
= 0.125
= 2.000
= 2.000
= 0.875
= 0.875
= 0.375
= 0.375

= 0.238
= 0.200
= 0.667
= 0.976
= 0.976
= 0.714
= 0.714

= 0.238
= 0.200
= 0.667
= 0.976
= 0.976
= 0.714
= 0.714

= 0.104
= 0.500
= 0.500
= 0.867
= 0.867
= 0.742
= 0.742
= 0.104
= 0.500
= 0.500
= 0.867
= 0.867
= 0.742
= 0.742

= 0.865
= 0.233
= 0.865
= 0.233




= 0.909
= 0.886
= 0.909
= 0.886
= 0.894
= 0 828

Kommentar

Fakultetsfunksjon
Fakultetsfunksjon
Ordnet utvalg med tilbaklegging
Ordnet utvalg uten tilbakelegging
Uordnet utvalg med tilbakelegging
Uordnet utvalg uten tilbakelegging
Binomialkoeffisient
Binomialkoeffisient
n^k
(n)k Redusert fakultet
Ordnet utvalg med tilbaklegging
Ordnet utvalg uten tilbakelegging
Uordnet utvalg med tilbakelegging
Uordnet utvalg uten tilbakelegging

Uniform fordeling (uferdig)







Indikator fordeling (uferdig)







Binomisk fordeling
Forventning
Varians
Kumulativ fordeling

Kumulativ fordeling intervall

Binomisk fordeling
Forventning
Varians
Kumulativ fordeling

Kumulativ fordeling intervall


Multinomisk fordeling (uferdig)

Geometrisk fordeling
Forventning
Varians
Kumulativ fordeling

Kumulativ fordeling intervall

Geometrisk fordeling
Forventning
Varians
Kumulativ fordeling

Kumulativ fordeling intervall


Hypergeometrisk fordeling
Forventning
Varians
Kumulativ fordeling

Kumulativ fordeling intervall

Hypergeometrisk fordeling
Forventning
Varians
Kumulativ fordeling

Kumulativ fordeling intervall


Poisson fordeling
Forventning
Varians
Kumulativ fordeling

Kumulativ fordeling intervall

Poisson fordeling
Forventning
Varians
Kumulativ fordeling

Kumulativ fordeling intervall


Eksponensial fordeling
Kumulativ fordeling intervall

Gamma fordeling (uferdig)


Normal fordeling
Kumulativ fordeling intervall
Normal fordeling
Kumulativ fordeling intervall
Normal N(0,1) fordeling
Kumulativ fordeling intervall

Kalkulatoren inneholder følgende predefinerte statistikk-funksjoner som kan vises grafisk:

- Uniform fordeling (ikke ferdig implementert)
- Indikator fordeling
- Binomialfordeling
- Geometrisk fordeling
- Hypergeometrisk fordeling
- Poissonfordeling
- Eksponentialfordeling
- Normalfordeling