Kutanga neInferential Statistics
Munyika umo data ihosi, kugona manhamba kuri kuratidza kuve hunyanzvi hwakakosha. Kudzidziswa uku, kwakagadzirwa nekubatana neENSAE-ENSAI, kunokupa kunyudzwa kwakadzama mumunda unonakidza wehuwandu hwehuwandu. Mumaawa gumi nemaviri chete, iwe unozoziviswa kune pfungwa dzinoumba hwaro hwakasimba hwekutsigirwa kwesarudzo muzvikamu zvakasiyana zvehunyanzvi.
Fungidzira iwe uchigadzirira marathon uye uchiedza kuona kana mashandiro ako akanyatsoita nani kana uchienzaniswa negore rapfuura. Inferential statistics inouya kuzokununura, zvichikubatsira kusarudza mubvunzo uyu nekuisa chinobatika pakati penyika chaiyo yekutarisa nenyika ye theoretical of probability. Iwe unozodzidza kuverenga chaiyo miganho yekukanganisa uye kushanda nepfungwa yenjodzi, hunyanzvi hwakakosha mune chero sarudzo.
Iyi kosi inokutungamira kuburikidza neakakosha pfungwa sekufungidzira, nguva yekuvimba uye kuongororwa kwenhamba. Inovimbisa kushandura nzira yaunoita sarudzo, ichikushongedza iwe neakasimba manhamba maturusi. Prerequisites ? Kujairira nenhamba dzinotsanangura uye pfungwa dzinokosha dzekugona kuitika. Gadzirira kusazomboita sarudzo nenzira imwechete zvakare, nedzidziso iyi inotusa uye inovhenekera.
Dzadza Ruzivo rwako rweInferential Statistics
Iwe uchanyura zvakadzika munyika inonakidza yeinferential manhamba. Iwe unozotanga nekuongorora pfungwa yekufungidzira, pfungwa inozokubvumidza iwe kumisa hukama hwakasimba pakati peempirical ongororo uye theoretical probabilistic modhi. Unyanzvi uhwu hwakakosha pakuongorora nekududzira data yakaoma mumamiriro akasiyana ehunyanzvi.
Iwe zvakare unozounzwa kune point efungidziro tekinoroji, zvichikubvumidza iwe kuverenga kwakaringana nguva dzekuvimba kune akasiyana ma paramita, senge chikamu uye zvinoreva. Unyanzvi uhu hwakakosha pakuita kwakaringana uye kwakavimbika ongororo yedata, kubatsira mabhizinesi kuita sarudzo dzine ruzivo zvichibva pane yakasimba data.
Asi handizvo zvoga. Iwe unozodzidza zvakare maitiro ekuita ongororo yenhamba, hunyanzvi hwakakosha hwekuona kukodzera kwedata remutemo chaiwo. Kunyangwe iwe uri kutsvaga kuyedza fungidziro pamusoro pechikamu, zvinoreva kana musiyano, kosi inokupa iwe zvishandiso zvekuzviita nemazvo uye nechivimbo.
Kuisa Mafungiro Anowanikwa Mukuita
Paunenge uchifambira mberi kuburikidza nekudzidziswa uku, unozokumbirwa kushandisa hunyanzvi hunowanikwa kuburikidza nezvidzidzo zvekongiri. Iyi nhanho yakakosha, sezvo ichikubvumidza kuti ubatanidze ruzivo rwako uye nekuishandisa mune chaihwo-hupenyu mamiriro, nekudaro uchitevedzera matambudziko aungasangana nawo munyika yehunyanzvi.
Chikumikidzo chiri pakushandiswa kunoshanda kweinferential statistics concepts, ichikutungamira kuburikidza nemaekisesaizi ayo achakubatsira kuona miganho yekukanganisa uye kunzwisisa njodzi dzine chekuita nega rega rekuita sarudzo. Iwe uchakwanisa kubata data chaiyo, kuongorora mafambiro uye kuita fungidziro ine ruzivo, hunyanzvi hunokosheswa zvakanyanya mundima ine simba yesainzi yedata.
Ichi chikamu chekudzidziswa chakagadzirirwa kukushandura iwe kuva nyanzvi inokwanisa, inokwanisa kuita sarudzo ine ruzivo zvichibva pakuongorora kwakasimba kwenhamba. Iwe unozotungamirwa nhanho dzese dzenzira, kuve nechokwadi chekuti wakagadzirira zvakanaka kubudirira mune ramangwana rako rebasa.
Pakupedzisira, chiitiko chinopa mubairo chinokugadzirira iwe kwete chete kukunda mumunda wesainzi yedata, asiwo kuita mupiro une musoro kusangano rako, uchibatsira kuita sarudzo zvichienderana nedata rakavimbika uye rakarurama.
