Izibalo Zokwaba (DIST)

Ungasebenzisa izinqubo ngezansi ukwenza iinhlobo eziyisikhombisa ezihlukahlukene zezibalo zokusabalalisa.

1. Cindezela (DIST) ukufaka Imodi ye-DIST.

2. Kumenyu evelayo, khetha uhlobo lwesibalo sokusabalalisa.

Ukukhetha lolu hlobo lwesibalo:	Cindezela lo khiye:
I-Norrmal probability density	(Normal PD)
I-Normal cumulative distribution	(Normal CD)
I-Inverse normal cumulative distribution	(Inverse Normal)
I-Binomial probability	(Binomial PD)
I-Binomial cumulative distribution	(Binomial CD)
I-Poisson probability	(Poisson PD)
I-Poisson cumulative distribution	(Poisson CD)

3. Ukufaka amanani wezimeleli.

Nge-Binomial PD, Binomial CD, Poisson PD, ne-Poisson CD, ungafaka isampula ledatha bese wenza izibalo.

4. Emuva kokufaka amanani wazo zonke izimeleli, cindezela .

Lokhu kuveza imiphumela yesibalo.

Ukucindezela i- noma i- kuyilapho imiphumela ibonisiwe kuzobuyisela okufakiwe esikrinini sesimeleli sokuqala.

Phawula

Ukushintsha uhlobo lwesibalo sokusabalalisa emva kokufaka Imodi ye-DIST, cindezela (STAT/DIST)(Type) bese ukhetha uhlobo lwesisabalalisi osifunayo.

Ukunemba kwesibalo sokusabalalisa kufinyelela kumadijithi amahlanu aphawulekayo.

Izimeleli Ezamukela Okufakwayo

Izimeleli ezilandelayo zesibalo sokusabalalisi ezamukela ukufakwa kwamanani.

I-Normal PD ........................... x, σ, μ
I-Normal CD ........................... I-Lower , I-Upper, σ, μ
I-Inverse Normal .................... I-Area, σ, μ (Isethingi le-Tail njalo ngakwesokudla.)
I-Binomial PD, I-Binomial CD ... x (noma List), N, p
I-Poisson PD, I-Poisson CD ..... x (noma List), μ

x: data
σ: i-standard deviation (σ < 0)
μ: i-mean
I-Lower: i-lower boundary
I-Upper: i-upper boundary
I-Tail: inani lamathuba e-tail.
I-Area: inani lamathuba (0 ≦ Area ≦ 1)
I-List: i-list yesampula yedatha
N: inani lemizamo
p: impumelelo yethuba (0 ≦ p ≦ 1)

I-List Lwesikrini (Binomial PD, Binomial CD, Poisson PD, Poisson CD)

Nge-Binomial PD, Binomial CD, Poisson PD, ne-Poisson CD, sebenzisa Isikrini se-List sesampula yedatha yokufakwayo. Ungafaka amasampula edatha angafika ku-25 ngokuguquguqukayo ngakunye. Imiphumela yokubala ibonisiwe Esikrinini se-List.

(1) Uhlobo lwesibalo sokusabalalisa
(2) Inani elisendaweni yamanje ye-cursor
(3) X: Isampula yedatha
(4) Ans: Imiphumela yesibalo

Ukuhlela isampula yedatha:

Hambisa i-cursor kuseli eliqukethe idatha ofuna ukuyihlela, ufake idatha entsha, bese ucindezela .

Ukususa yonke idatha:

Hambisa i-cursor iye kusampula yedatha ofuna ukuyisusa bese ucindezela .

Ukufaka isampula yedatha:

Hambisa i-cursor endaweni lapho ofuna ukuufaka khona isampula yedatha, cindezela (STAT/DIST)(Edit)(Ins), bese ufaka isampula yedatha.

Ukususa yonke isampula yedatha:

Cindezela (STAT/DIST)(Edit)(Del-A).

Izibonelo Zesibalo Semodi ye-DIST

Isibonelo 1: Ukubala amathuba okuminyana okujwayelekile okungenzeka uma u-x = 36, σ = 2, μ = 35

(DIST)

(Normal PD)

Imiphumela: 0,1760326634

Ukucindezela i- noma i- kuphindela esikrinini sokufaka u-x.

Isibonelo 2: Ukubala amathuba e-binomial yesampula yedatha {10; 11; 12; 13; 14} uma u-N = 15 no-p = 0,6

(DIST)(Binomial PD)

Bonisa Isikrini se-List: (List)

Ukubalula idatha usebenzisa ifomethi yepharamitha, cindezela (Var).

1011121314

Imiphumela:x = amathuba we-binomial ka-10 ≒ 0,18594
x = amathuba we-binomial ka-11 ≒ 0,12678
x = amathuba we-binomial ka-12 ≒ 0,063388
x = amathuba we-binomial ka-13 ≒ 0,021942
x = amathuba we-binomial ka-14 ≒ 4,7018 × 10^-3

Ukucindezela i- kuphindela esikrinini sokufaka i-N. Ukucindezela i- kuphindela Esikrini se-List (ukufaka amasampula edatha elondiwe).