1 Pertemuan 09 Pengujian Hipotesis 2 Matakuliah: I0272 – Statistik Probabilitas Tahun: 2005 Versi: Revisi

  • Published on
    21-Dec-2015

  • View
    213

  • Download
    1

Embed Size (px)

Transcript

  • Slide 1
  • 1 Pertemuan 09 Pengujian Hipotesis 2 Matakuliah: I0272 Statistik Probabilitas Tahun: 2005 Versi: Revisi
  • Slide 2
  • 2 Learning Outcomes Pada akhir pertemuan ini, diharapkan mahasiswa akan mampu : Mahasiswa akan dapat memilih statistik uji proporsi, ragam dan uji kebaikan suai.
  • Slide 3
  • 3 Outline Materi Uji hipotesis proporsi Uji hipotesis ragam Uji kebaikan suai
  • Slide 4
  • 4 A Summary of Forms for Null and Alternative Hypotheses about a Population Proportion The equality part of the hypotheses always appears in the null hypothesis. In general, a hypothesis test about the value of a population proportion p must take one of the following three forms (where p 0 is the hypothesized value of the population proportion). H 0 : p > p 0 H 0 : p < p 0 H 0 : p = p 0 H a : p p 0 H a : p p 0
  • Slide 5
  • 5 Tests about a Population Proportion: Large-Sample Case (np > 5 and n(1 - p) > 5) Test Statistic where: Rejection Rule One-Tailed Two-Tailed H 0 : p p Reject H 0 if z > z H 0 : p p Reject H 0 if z < -z H 0 : p p Reject H 0 if |z| > z
  • Slide 6
  • 6 Example: NSC Two-Tailed Test about a Population Proportion: Large n Hypothesis H 0 : p =.5 H a : p.5 Test Statistic
  • Slide 7
  • 7 Contoh Soal: NSC Two-Tailed Test about a Population Proportion: Large n Rejection Rule Reject H 0 if z 1.96 Conclusion Do not reject H 0. For z = 1.278, the p-value is.201. If we reject H 0, we exceed the maximum allowed risk of committing a Type I error (p-value >.050).
  • Slide 8
  • 8 Tests of Goodness of Fit and Independence Goodness of Fit Test: A Multinomial Population Tests of Independence: Contingency Tables Goodness of Fit Test: Poisson and Normal Distributions
  • Slide 9
  • 9 Goodness of Fit Test: A Multinomial Population 1. Set up the null and alternative hypotheses. 2. Select a random sample and record the observed frequency, f i, for each of the k categories. 3. Assuming H 0 is true, compute the expected frequency, e i, in each category by multiplying the category probability by the sample size. continued
  • Slide 10
  • 10 Goodness of Fit Test: A Multinomial Population 4. Compute the value of the test statistic. 5. Reject H 0 if (where is the significance level and there are k - 1 degrees of freedom).
  • Slide 11
  • 11 Contoh Soal: Finger Lakes Homes Multinomial Distribution Goodness of Fit Test The number of homes sold of each model for 100 sales over the past two years is shown below. Model Colonial Ranch Split-Level A- Frame # Sold 30 20 35 15
  • Slide 12
  • 12 Selamat Belajar Semoga Sukses.