1 / 15

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 :

yoland
Download Presentation

Ukuran Dispersi

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  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.

More Related