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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.

Hisabati
Zaidi ya 16
Panga kwa

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Maabara hii ya kawaida inafanya kazi kama njama ya maingiliano ya vekta za 3D. Mtumiaji anaweza kuchunguza jinsi vekta mbili zinazohusiana na matokeo zao, tofauti na bidhaa za msalaba.

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Seti hii ya data inaruhusu mtumiaji mahesabu nafasi na urefu wa jua popote duniani tarehe yoyote na Ploti kivuli zilizopigwa na jua kwa nyakati tofauti ya siku. Mtumiaji anaweza kuanza kutafuta mahali yao na kuweka tarehe ni nia na kuona jua nafasi njama kubadilisha.

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Hii ni maabara ingiliani pepe kufaa mstari moja kwa moja kwa njama Tawanya kutumia mbinu ya mraba mdogo.

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Maabara hii hukuruhusu kuunda wa malango ya mantiki kuona jinsi kuishi wakati kushikamana na aina mbalimbali za pembejeo (0 au 1).

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Hii ni maandamano ya maingiliano ya tabia ya binomial ya dice ya rolling.

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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.

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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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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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Hali ya hewa ni umewekwa na usawa maridadi ya mionzi umeme zinazoingia na zinazotoka. Kijiprogramu hiki kwanza inahusu hali ya anga ya sayari mbalimbali, kutizama Mars, Venus na dunia.