Inferensia Sampel Kecil untuk Populasi Normal (Small-sample Inferences for Normal Populations) Dr. Kusman Sadik, M.Si Departemen Statistika IPB, 2017/2018
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Inferensia Sampel Kecil untuk Populasi Normal
(Small-sample Inferences for Normal Populations)
Dr. Kusman Sadik, M.Si
Departemen Statistika IPB, 2017/2018
Many investigations, especially those involving costly
experiments, require statistical inferences to be drawn
from small samples ( n ≤ 30, as a rule of thumb).
Since the sample mean will still be used for inferences
about μ, we must address the question, “What is the
sampling distribution of when n is not large?”
With the central limit theorem no longer applicable, more
information concerning the populaon is required for the
development of statistical procedures.
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Sampel Besar (n > 30) Sebaran Normal (Z)
Sampel Kecil (n < 30) Sebaran t-Student
Jumlah
Sampel (n)
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derajat bebas4
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t(0.10, db=5) = 1.476
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Johnson (Exercise 9.12), hlm. 361
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Johnson (Exercise 9.23), hlm. 362
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Johnson (Exercise 9.29), hlm. 363
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Johnson (Exercise 9.63), hlm. 377
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Johnson, R.A. and Bhattacharyya, G.K. 2010.
Statistics, Principles and Methods 6th. John Wiley
& Sons, Inc., New York.
Montgomery, D.C. 2013. Design and Analysis of
Experiments 8th. John Wiley & Sons, Inc.,
Canada.
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