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Jurusan T eknik Industri Jurusan Teknik Informatika Fakult as Teknik Universitas Y udharta Pasuruan Qomaruddin, M.Si

Discrete & Continuous Probabilty Distributions.pdf

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Jurusan Teknik IndustriJurusan Teknik Informatika

Fakultas Teknik

Universitas Yudharta Pasuruan

Qomaruddin, M.Si

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PengertianDaftar semua hasil percobaan dan probabilitas masing-masingoutcome.

Contoh.

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Pembahasan.

“zero heads”  hanya muncul sekali

“one head”  muncul 3x

“two head”  muncul 3x

“three heads  muncul sekali

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Pengertian

Hasil dari suatu percobaan  nilainya berbeda

Bisa berupa diskrit ataupun kontinu

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Variable Diskrit

hasil penghitungan

Contoh.Jumlah mahasiswa masing-masing kelas & jurusan di FakultasTeknik UYP

• TI “A”  40 mhs

• TI “B”  25 mhs

• T. Industri  20 mhs

Variabel Kontinuhasil pengukuran

Contoh

Tinggi badan mahasiswa Teknik Industri, yaitu: 160 cm, 163 cm,165 cm, 168 cm, 170 cm, 175 cm.

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Rata-rata (mean)

= ()  

=

() 

Varian & Standar Deviasi

Keterangan.

  : rata-rata

  : varian

  : simpangan baku

 x  : variable acak

P( x) : probabilitas x   

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Bagaimana cara menghitung &

menggunakan distribusi probabilitas

Binomial?

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=   (1 )−  

Bentuk Umum 

Keterangan:

 P(x)  : probabilitas distribusi binomial

C   : Combinasi

n  : jumlah percobaan

 x  : jumlah percobaan yg berhasilπ   : probabilitas keberhasilan masing-masing percobaan 

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Contoh.

Maskapai Penerbangan Air Asia, dari Lima penerbangan pesawat Air

 Asia, kemungkinan keterlambatan penerbangan adalah 20%.

a. Berapakah probabilitas tidak ada pesawat yang terbang

terlambat?

b. Berapakah kemungkinan satu penerbangan yang PASTI

terlambat?

Pembahasan 

Diketahui

n = 5

π  = 0,2

 x = 0 . . . . ?

 x = 1 . . . . ?

=  

 (1 )−  

0 = 5(0,2) (1 0,2)− 

0 = 0,3277 

1 = 5(0,2) (1 0,2)− 

1 = 0,4096 

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=  

=(1) 

= (1 ) 

Keterangan.

  : rata-rata

  : varian

  : simpangan baku

n  : jumlah percobaan

  : probabilitas keberhasilan

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Menjawab Keterbatasan Distribusi

Binomial

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Pengertian

Menggambarkan jumlah waktu pada beberapa kejadian

selama interval tertentu.

Ciri ciri

Distribusi Probabilitas Diskrit

Nilai Probabilitas proporsional dengan ukuran interval

Independent kemunculan pada satu interval tidak

berpengaruh pada interval yang lain

Kemiringannya tidak pernah negatif

Distribusinya bergantung nilai  

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Bentuk Umum

=  −

!  Keterangan.

  : rata-rata

  : varian

  : simpangan baku

 x  : variable acak

P( x) : probabilitas x   

= ()  

= ()  

Rata-rata (mean) 

Varian & Standar Devisasi 

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Contoh

Dari 1000 penerbangan suatu maskapai, terdapat 300

bagasi yang hilang.

a. Berapakah probabilitas tidak ada bagasi yang

hilang?

b. Berapakah probabilitas hilang 1 bagasi?

=  −!  

Pembahasan

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