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Tumia
Weka upya

Maabara mtandaoni yanawapa wanafunzi wako uwezekano wa kuendesha majaribio ya kisayansi katika mazingira ya mtandaoni. Maabara yanayoendeshwa kwa mbali (maabara ya mbali) yanakupa fursa ya kujaribu mitambo halisi kutoka sehemu za mbali. Maabara ya mtandaoni yanapatia uhai mtambo ya kisayansi. Mipangilio ya data inawasilisha data kutoka katika majaribio ya maabara yaliyofanywa awali. Tafadhali tumia vichujio kwenye upande wa kulia ili kupata maabara mtandaoni yanayofaa darasa lako. Maabara yanaweza kuunganishwa kwa Programu tumizi maalum ili kuunda Nafasi za Kusoma za Kiulizio(ILSs).

Ikiwa unatafuta maabara ya mtandaoni hasa yanafaa kwa somo la Benin, Kenya au Nigeria, tafadhali tembelea ukurasa wetu wa Makusanyo.

Kama umeteua maabara kwa Kazakh, maelezo kwenye tovuti hii yataonyeshwa bado kwa Kiingereza. Hata hivyo, wakati utajumuisha maabara katika ILS na kubadilisha mpangizo wa lugha wa ILS hadi Kazakh, maabara yataonyeshwa kwa Kazakh ndani ya ILS.

Zaidi ya 16
Kikazaki
Hisabati
Panga kwa

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Maabara hii inaruhusu wanafunzi kuchunguza maana ya kauli ya hisabati kuwa na usawa au isiyo na usawa kwa kuingiliana na vitu kwa usawa. Wanafunzi wana uwezo wa kugundua sheria za kuiweka sawa na kukusanya nyota kwa kucheza mchezo!

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Maabara hii inaruhusu wanafunzi kuchunguza fomu ya kukatiza mteremko wa mstari. Wanafunzi wana uwezo wa kuunganisha mteremko na kuingiliwa na mlinganyo wa mstari. Changamoto yao katika mchezo wa mstari!

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Chunguza vekta katika 1D au 2D, na ugundue jinsi vekta huongeza pamoja. Bainisha vekta katika Cartesian au Polar Viratibu, na uone ukubwa, angle, na vipengele vya kila vekta. Majaribio na milinganyo ya vekta na kulinganisha kiasi cha vekta na tofauti. Malengo ya kujifunza sampuli:

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Majaribio na milinganyo ya vekta na kulinganisha kiasi cha vekta na tofauti. Customize vekta msingi au kuchunguza magamba ya juu kwa kurekebisha coefficients katika usawa. Bainisha vekta katika Cartesian au Polar Viratibu, na uone ukubwa, angle, na vipengele vya kila vekta.

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Buruta pointi za data na Miambaa makosa yao na uangalie usasisho bora wa Mtao wa Kipolinomia papo hapo. Kuchagua aina ya fit: linear, roratic, au ya ujazo. Ya kupunguza ya ndani ya chi-mraba takwimu inaonyesha wakati fit ni nzuri.

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Kuunda njama zako Tawanya au kutumia data ya ulimwengu halisi na kujaribu fit mstari ni! Kuchunguza jinsi gani data pointi kuathiri uwiano mgawo na mstari Tosheleza bora.