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Seo Mohlahlobi e mong le e mong a Lokelang ho se Tseba ka Randomization

\u003ch2\u003e Seo Mohlahlobi e mong le e mong a Lokelang ho se Tseba ka Randomization\u003c/h2\u003e \u003cp\u003eSengoliloeng sena se fana ka lintlha tsa bohlokoa le tlhaiso-leseling ka sehlooho sa eona, se thusang ho arolelana tsebo le kutloisiso.\u003c/p\u003e \u003ch3\u003eLitsela Tsa Bohlokoa\u003c/h3\u003e ...

6 min read Via spawn-queue.acm.org

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\u003ch2\u003e Seo Mohlahlobi e mong le e mong a Lokelang ho se Tseba ka Randomization\u003c/h2\u003e \u003cp\u003eSengoliloeng sena se fana ka lintlha tsa bohlokoa le tlhaiso-leseling ka sehlooho sa eona, se thusang ho arolelana tsebo le kutloisiso.\u003c/p\u003e \u003ch3\u003eLitsela Tsa Bohlokoa\u003c/h3\u003e \u003cp\u003e Babali ba ka lebella ho fumana:\u003c/p\u003e \u003cul\u003e \u003cli\u003e Kutloisiso e tebileng ea taba\u003c/li\u003e \u003cli\u003e Lisebelisoa tse sebetsang le bohlokoa ba lefats'e la nnete\u003c/li\u003e \u003cli\u003e Maikutlo a litsebi le tlhahlobo\u003c/li\u003e \u003cli\u003e Litaba tse nchafalitsoeng mabapi le lintlafatso tsa hajoale\u003c/li\u003e \u003c/ul\u003e \u003ch3\u003e Tlhahiso ea Boleng\u003c/h3\u003e \u003cp\u003eLikahare tsa boleng tse kang tsena li thusa ho haha ​​tsebo le ho khothaletsa ho etsa liqeto ka tsebo libakeng tse fapaneng.\u003c/p\u003e

Lipotso Tse Botsoang Hangata

Ho etsa lintho ka mokhoa o sa reroang ke eng, hona hobaneng ho le bohlokoa litekong?

Ho etsa ka mokhoa o sa reroang ke mokhoa oa ho fana ka lithuto kapa liphekolo ho lihlopha tsa liteko ho sebelisa monyetla, ho felisa leeme le hlophisitsoeng. E etsa bonnete ba hore mefuta e ferekanyang e ajoa ka ho lekana ho pholletsa le lihlopha, ho etsa hore liphetho li tšepahale le ho nepahala ho latela lipalo-palo. Ntle le randomization e nepahetseng, liphello tsa liteko li ka khelosoa ke lintlha tse patehileng, tse lebisang liqetong tse fosahetseng. Ke lejoe la motheo la mabaka a utloahalang liphuputsong tsa saense le tlhahlobo ea A/B ea khoebo.

Ke mefuta efe e atileng haholo ea ho etsa liteko?

Mefuta e sebelisoang ka ho fetisisa e kenyelletsa randomisation e bonolo (kabelo ea coin-flip style), thibela randomization (lihlopha tse leka-lekaneng ka har'a li-blocks tse hlalositsoeng), stratified randomization (taolo bakeng sa mefuta-futa ea bohlokoa joaloka lilemo kapa sebaka), le ho arola ka lihlopha (ho abela lihlopha kaofela ho e-na le batho ka bomong). Mokhoa o mong le o mong o lumellana le meralo e fapaneng ea liteko le sekala. Ho khetha mofuta o nepahetseng ho ipapisitse le boholo ba sampole ea hau, mefuta eo u hlokang ho e laola, le ho rarahana ha thuto ea hau.

Ho se sebetse hantle ho ka ama sephetho sa ka sa liteko joang?

Tlhahiso e fosahetseng e ka hlahisa leeme la khetho, ea etsa hore sehlopha se seng se fapane le se seng pele liteko li qala. Sena se ka lebisa ho litlamorao tsa kalafo tse lekanyelitsoeng ho feta tekano kapa tse sa lekanyetsoang, qetellong sa hlahisa maikutlo a khelosang. Bakeng sa likhoebo tse tsamaisang kholo kapa liteko tsa lihlahisoa, sena se ka bolela ho arola lichelete ka nepo ho ipapisitsoe le lintlha tse fosahetseng. Lisebelisoa tse tšehetsang mosebetsi o hlophisitsoeng - joalo ka sethala sa Mewayz sa 207-module ho $ 19 / khoeli - se ka thusa lihlopha ho haha ​​mekhoa e laolehileng, e nang le boitsebiso ba data e fokotsang liphoso tse joalo tse theko e boima.

Na ke hloka saese e kholo ea sampole bakeng sa randomization hore e sebetse hantle?

Ha randomization e sebetsa ho saese efe kapa efe ea sampole, phello ea eona ea ho leka-lekanya e ba e ts'epahalang le ho feta ha boholo ba sampole bo ntse bo eketseha. Ka lisampole tse nyane, ho se leka-lekane ha monyetla lipakeng tsa lihlopha ho ka etsahala esita le tlas'a ts'ebetso e nepahetseng. Mekhoa e kang stratified kapa block randomization thusa ho lefella lithuto tse nyane. Ho sa tsotelehe boholo, ho bohlokoa ho netefatsa hore mokhoa oa hau oa randomisation o loketse moelelo oa hau. Li-platform tse kang Mewayz, tse fanang ka li-module tsa 207 bakeng sa $ 19 / khoeli feela, li ka tšehetsa li-analytics le sebopeho sa mosebetsi se hlokahalang ho laola liteko hantle.

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