Rarrabawa tsakanin ɓangarorin biyu

Rarraba Binomial: Ka'ida, Amfani, da Misalan

Pendahuluan

Rarraba binomial babban ra'ayi ne a cikin kididdiga da ka'idar yiwuwa. A matsayin ɗaya daga cikin rarrabawa daban-daban da aka fi amfani da su akai-akai, rarraba binomial yana ba da aikace-aikace da yawa a fannoni kamar magani, tattalin arziki, ilmin halitta, da kimiyyar zamantakewa. Wannan labarin zai tattauna rarraba binomial a cikin zurfi, gami da ma'anarsa, manyan halaye, dabarun da suka shafi, da misalai da yawa na aikace-aikacen aiki.

Fahimtar Rarraba Binomial

Rarraba binomial yana bayyana sakamakon gwaje-gwajen n Bernoulli, inda kowace gwaji ke da sakamako biyu kawai: "nasara" ko "kasawa." Misali, a cikin jifan tsabar kuɗi, sakamakon da zai yiwu shine "kai" ko "kai."

Manyan sigogi guda biyu a cikin rarrabawar binomial sune:
1. n (adadin gwaje-gwaje)
2. p (yiwuwar nasara a kowace gwaji)

A zahiri, adadin nasarorin da aka samu a gwaje-gwajen n za a iya bayyana su ta hanyar rarraba binomial \( B(n, p) \).

Aikin Yiwuwar Mass (PMF)

An tsara aikin yawan yiwuwar rarrabawar binomial kamar haka:
\[ P(X = k) = \binom{n}{k} p^k (1 – p)^{n – k} \]
Ina:
– \( \binom{n}{k} \) haɗin n ne da aka zaɓa k,
– \( p \) shine yuwuwar nasara a cikin gwaji ɗaya,
– \( k \) shine adadin nasarorin,
– \( n \) shine jimlar adadin gwaje-gwajen.

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Babban Kadarorin Rarraba Binomial

Rarraba binomial yana da wasu muhimman halaye:
1. Matsakaici (Matsakaici): An samo shi ne daga ninka adadin gwaje-gwajen da yuwuwar samun nasara a kowace gwaji. Matsakaici shine \( \mu = np \).
2. Bambanci: Bambancin rarraba binomial shine sakamakon adadin gwaje-gwaje, yuwuwar nasara, da kuma yuwuwar gazawa, wato, \( \sigma^2 = np(1 – p) \).
3. Daidaito da Skewness: Lokacin da \( p = 0.5 \), rarrabawar binomial ta kasance mai daidaito. Ga \( p < 0.5 \), rarrabawar ta karkace zuwa dama, kuma ga \( p > 0.5 \), rarrabawar ta karkace zuwa hagu.
4. Iyakokin Ƙimar: Ƙimar binomial (k) tana tsakanin 0 zuwa n.

Rarraba Binomial da Ka'idar Iyaka ta Tsakiya

Rarraba binomial yana taka muhimmiyar rawa a cikin Ka'idar Iyaka ta Tsakiya. Lokacin da adadin gwaje-gwajen (n) ya zama babba sosai, rarraba binomial zai kusanci rarraba ta al'ada tare da matsakaicin \( \mu = np \) da karkacewar misali \( \sigma = \sqrt{np(1 – p)} \).

Misalin Misali Ta Amfani da Rarraba Binomial

Tattaunawa game da rarrabawar binomial za ta fi sauƙin fahimta ta hanyar misalai masu amfani daga fannoni daban-daban. Ga wasu aikace-aikace na gaske:

Misali na 1: Gwajin Samfura

A ce kamfanin lantarki yana da layin samarwa inda yuwuwar samfurin da ke da lahani shine 0.01. Idan kamfanin ya duba samfura 100, menene yuwuwar samun daidai samfura 2 masu lahani?

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Amfani da dabarar rarraba binomial:
\[ P(X = 2) = \binom{100}{2} (0.01)^2 (0.99)^{98} \]

Ta hanyar ƙididdige haɗakar \(\binom{100}{2}\), sannan a ninka ta da sauran yiwuwar, za mu sami sakamakon ƙarshe.

Misali na 2: Binciken Likitanci

A gwajin asibiti na wani magani na wata cuta, yuwuwar warkewar majiyyaci da maganin shine 0.8. Idan an gwada marasa lafiya 10, menene yuwuwar warkewar akalla marasa lafiya 8?

Domin gano wannan yiwuwar, dole ne mu tara yiwuwar marasa lafiya 8, 9, da 10 su murmure:
\[ P (X \ geq 8) = P (X = 8) + P (X = 9) + P (X = 10) \]

Ta hanyar amfani da dabarar binomial don kowace ƙimar k (8, 9, da 10), sannan a ƙara sakamakon.

Misali na 3: Shawarwari a fannin tattalin arziki

A wani bincike da aka gudanar a kasuwa, kashi 60% na masu amfani da kayayyaki sun so sabon samfuri. Idan aka ɗauki samfurin bazuwar na masu amfani da kayayyaki 20, menene yuwuwar cewa aƙalla 15 daga cikinsu sun so samfurin?

Muna buƙatar rarrabawar binomial don ƙididdige yiwuwar adadin likes daga 15 zuwa 20:
\[ P (X \ geq 15) = P (X = 15) + P (X = 16) + P (X = 17) + P (X = 18) + P (X = 19) + P (X = 20) \]

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Ta amfani da wannan hanya, muna ƙididdigewa kuma mu haɗa waɗannan damar.

Amfani da Fasaha a Lissafin Rarraba Binomial

A zamanin dijital, aikace-aikacen lissafin rarraba binomial ba wai kawai ana yin su da hannu ba, har ma ana amfani da software kamar R, Python, ko wasu ƙididdigar ƙididdiga.

Ga misali na amfani da Python don ƙididdige rarrabawar binomial:

"' Python
daga scipy.stats shigo da binom

n = adadin gwaje-gwaje 10
p = 0.8 yiwuwar samun nasara
k = adadin nasarori 8 da ake sa ran samu

Yiwuwar samun nasarori guda 8 daidai
prob_8 = binom.pmf(k, n, p)

Yiwuwar samun akalla nasarori 8
prob_ge_8 = 1 - binom.cdf (k-1, n, p)

print(f”Yiwuwar nasarori 8 daidai: {prob_8}”)
print(f”Yiwuwar samun nasara aƙalla guda 8: {prob_ge_8}”)
““

Kammalawa

Rarraba binomial muhimmin ra'ayi ne na asali a cikin kididdiga da yuwuwar yin hakan. Ta hanyar fahimtar rarraba binomial, za mu iya amfani da samfuran yiwuwar yin hakan ga yanayi na zahiri da suka shafi gwaje-gwaje masu maimaitawa tare da sakamako biyu. Ikon amfani da kayan aikin fasaha yana sa tsarin lissafi ya fi inganci da daidaito. Rarraba binomial ba wai kawai yana da mahimmanci a ka'ida ba, har ma yana da aikace-aikace da yawa masu amfani da suka shafi fannoni daban-daban na kimiyya da masana'antu.

Da fatan wannan labarin zai samar da fahimtar rarrabawar binomial kuma zai ƙarfafa ƙarin bincike a fannonin kididdiga da yuwuwar hakan.

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