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Ukuran Dispersi

Ukuran Dispersi. Ukuran Dispersi. Ukuran Sebaran (Range / Jarak) Sebaran Antar Kuartil Ukuran Simpangan (Despersi) Koefisien of Varian. Ukuran Dispersi. Ukuran Sebaran (Range / Jarak). Selisih antara nilai data tertinggi dan data terkecil. Contoh :

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Ukuran Dispersi

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  1. Ukuran Dispersi

  2. Ukuran Dispersi • Ukuran Sebaran (Range / Jarak) • Sebaran Antar Kuartil • Ukuran Simpangan (Despersi) • Koefisien of Varian

  3. Ukuran Dispersi Ukuran Sebaran (Range / Jarak) Selisih antara nilai data tertinggi dan data terkecil Contoh : Kelompok I : 7 ; 7 ; 8 ; 9 ; 13 ; 16 ; 17 ; 20 ; 26 Kelompok II : 7 ; 19 ; 25; 24; 26; 26 ; 26 ; 26 ; 19

  4. Ukuran Dispersi Sebaran Antar Kuartil (SAK)

  5. Ukuran Dispersi Sebaran Antar Kuartil (SAK) Contoh 5-1 Contoh : Q1 = 0,7315 Q2 = Median = 0,7375 Q3 = 0,7383 SAK = 0,7383 – 0,7315 = 0,0068 DK = 0,0068 / 2 = 0,0034

  6. Ukuran Dispersi Ukuran simpangan (Deviasi) Simpangan rata-rata (Deviasi rata-rata) Simpangan Baku (simpangan standar)

  7. Ukuran Dispersi Ukuran simpangan (Deviasi) Simpangan rata-rata (Deviasi rata-rata)

  8. Ukuran Dispersi Ukuran simpangan (Deviasi) Simpangan rata-rata (Deviasi rata-rata) 1. 2. Nilai observasi tidak tergantung nilai extrim 3. Seakan-akan ada manipulasi tanda-tanda aljabar.

  9. Ukuran Dispersi Ukuran simpangan (Deviasi) 2. Simpangan Baku (simpangan standar)

  10. Ukuran Dispersi Koefisien of Varian

  11. Teori Peluang(PROBABILITAS)

  12. Teori Peluang • Nilai Peluang • Analisa Kombinatorial • Distribusi Peluang (Sebaran Peluang)

  13. Teori Peluang Nilai Peluang P + q = 1

  14. = Teori Peluang Analisa Kombinatorial Permutasi Kombinasi nPr = nCr=

  15. Teori Peluang Distribusi Peluang Yaitu nilai kemungkinan menggambarkan nilai dari suatu kejadian, maka seluruh nilai kejadian dapat ditunjukkan oleh distribusi tersebut.

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