Salvavidas Estadístico

UIT APPs Ciudad Real

Mayelana nalolu hlelo lokusebenza

Thola isivivinyo esifanelekile kunazo zonke sokuhlaziya imiphumela yakho ocwaningweni lwe-biomedical noma enye insimu yesayensi ngokuphendula imibuzo emithathu elula. Lolu hlelo lokusebenza lungasetshenziswa kunoma yisiphi isimo sokuhlaziywa kwezibalo kufaka phakathi okuguquguqukayo okubili (izibalo eziyisisekelo). Isebenza kakhulu emkhakheni wokucwaninga kanye nanoma yiliphi igatsha lesayensi lapho lolu hlobo lokuhlaziywa kwezibalo lufuneka khona.

Kunobunzima obujwayelekile kakhulu phakathi kochwepheshe bezempilo lapho behlaziya imiphumela etholakala ngenqubo yokucwaninga. Ukuthuthukiswa kokusebenza kwemitholampilo nokulungiselela kwayo kuvame ukwenza kube nzima ukufunda ukuthi ungabhekana kanjani nezinkinga zendlela kanye nezibalo. Ezingeni lokufundisa, kuyinkimbinkimbi ukuthuthukisa amandla okwenza ukuhlaziya kwezibalo ukuze ubhekane nezinkinga zezibalo, ezidinga isikhathi esingahambisani nokuzilolonga kwezifo.

Kunamabhukwana amaningi nezincwadi ezinikezelwe kulolu daba, kanye nenani elikhulu le-software yezibalo evumela ukuthi imisebenzi eyinkimbinkimbi kakhulu yenziwe futhi nenqwaba yemininingwane ukuthi isingathwe. Kodwa-ke, phakathi kolwazi oluyisisekelo oludingekayo ukuhlaziya idatha etholwe kwezinye izivivinyo kanye nolwazi mayelana nezibalo ezithuthukile kanye nokusingathwa kwedatha, kunesikhala esikhona ukuthi ochwepheshe bathola ukungaphumeleli. Ukuxhumana emhlabeni wolwazi nokuwuhumusha kahle kuyinqubo eyisisekelo okumele yenziwe ngumcwaningi wonke ukuze athole iziphetho ezivumayo ezivumela isayensi ukuthi iqhubekele phambili.

Ngakho-ke, indlela enika amandla ukukhethwa kovivinyo olufanele kakhulu lwezibalo ngesimo ngasinye ivezwa, okuvumela ababhekisisa ukuthi bahlaziye imiphumela yabo ngaphandle kwesidingo sokuthola uqeqesho olusezingeni eliphezulu lwezibalo noma lwezibalo.

Inhloso yedivaysi ebonakalayo "i-Salvavidas Estadístico" nohlelo lokusebenza lwayo, ukuhlinzeka ngesiqondisi sezinyathelo ezi-3 ukufeza ukuhlaziywa kwe-bivariate ngokuzimela, sisebenzisa imiqondo yezibalo edingekayo emikhakheni ehlukene yesayensi. Ngokukhethwa kokuxabana kokuguquguqukayo okubili nokuhlola kwezimpawu zabo ngemibuzo emi-3, kuzophakanyiswa isivivinyo esifanelana kahle nesimo ngasinye ngaphakathi kocwaningo lokucwaninga, ikakhulukazi ekuhlaziyweni kwemiphumela. Kwethulwa imibuzo emithathu:

1: Uhlobo luni lokuguquguquka okuzohlolwa?
Isinyathelo sokuqala siqukethe ukuphendula ukuthi hlobo luni lokuxabana nalo olubhekene nokuhlukahluka okubili okungaba ngobuningi noma okulinganiselayo (dichotomous or polytomous). Izinketho yilezi:

- Ubuningi vs ubuningi.
- I-volitative vs. dichotomous esemqoka.
- Isibalo sokuqhathanisa nokuqhathaniswa nekhwalithi yokwejwayelekile.
- I-Dichotomous qualitative dhidi i-dichotomous qualitative.
- Polythomous qualitative dhidi dichotomous qualitative noma polythomous.

2: Ingabe kukhona okufanelekile ekusakazweni okujwayelekile?
Ukuhlaziya okujwayelekile kokuguquguquka kwenani, ukuhlolwa kweShapiro-Wilk uma n <30 noma ukuhlolwa kweKolmogorov-Smirnov uma n> 30 kufanele kusetshenziswe. Kokubili ukuhlolwa kweShapiro-Wilk (ngamacala angama- 30) kanye nokuhlolwa kweKolmogorov-Smirnov (ngamacala angama- 30) kuhunyushwa ngendlela efanayo. Uma umphumela ungo-p> 0,05 singacabanga njengokujwayelekile (izibalo zeparametric) kepha uma i-p <0.05 sizothatha ukulingana okuhle ngokusatshalaliswa okujwayelekile (izibalo ezingekho ku-parametric). Kuzodingeka ukuphendula u-Yebo noma Cha.

3: Ingabe okuguqukayo kubhangqiwe?
Ukwehluka okubili kuncike, kubhangqiwe noma kufaniswe kuphela lapho zihlobene ngokuqondile (abantu noma amacala afanayo ngezikhathi ezihlukile). Ngakho-ke, kuzodingeka ukuthi kuhlolwe ukuthi ukuqhathanisa okuzokwakhiwa phakathi kwamaqembu kubhangqiwe noma cha. Kuzodingeka ukuphendula u-Yebo noma Cha.
Ngemuva kokuphendula le mibuzo emithathu, imininingwane izonikezwa ohlolweni olufanele kakhulu ngesimo esithile esichaziwe.

ISalvavidas Estadístico® inguphawu lokuthengisa olubhalisiwe. 2020.