Pengujian Hipotesis - I (Teori dan Konsep Dasar) Dr. Kusman Sadik, M.Si Program Studi Pascasarjana Departemen Statistika IPB, Genap 2018/2019
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Pengujian Hipotesis - I
(Teori dan Konsep Dasar)
Dr. Kusman Sadik, M.Si
Program Studi Pascasarjana
Departemen Statistika IPB, Genap 2018/2019
In statistics, one utilizes random samples to make
inferences about the population from which the
samples were obtained.
Statistical inference regarding population
parameters takes two forms: estimation and
hypothesis testing.
Hypothesis testing has an important role in the
application of statistics to real-life problems.
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In any hypothesis testing problem, we formulate a
null hypothesis and an alternative hypothesis such
that if we reject the null, then we have to accept
the alternative.
The null hypothesis usually is a statement of either
the “status quo” or “no effect.”
A guideline for selecting a null hypothesis is that
when the objective of an experiment is to establish
a claim, the nullification of the claim should be
taken as the null hypothesis.
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P(Tolak H0 | H0 Benar)
P(Tolak H1 | H1 Benar)
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Pada α yang sama,
semakin besar nmaka β
semakin kecil
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Ramachandran, K.M. and Tsokos, C.P. 2009.
Mathematical Statistics with Applications.
Academic Press, Elsevier.
Hogg, R., Mc Kean, and Craig, A. 2005.
Introduction to Mathematical Statistics, 6th
Edition. Prentice Hall.
Pustaka lain yang relevan.
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Bisa di-download di
kusmansadik.wordpress.com
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Terima Kasih
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