PERBANDINGAN UJI T STATISTIK RATA-RATA TERBOBOT DENGAN RATA-RATA TIDAK TERBOBOT PADA DATA KEUANGAN: (Studi Kasus Yield Obligasi Muncipal dan Korporasi Amerika Serikat dengan Rating AAA

Means is technic to explanation the group or size in center set of data. Usually, a common statistical question arises when two random samples are taken from two different normal populations, possibly with different variances, and wish to know whether or not the means of the two populations are equa...

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Main Authors: , INDAH MENTARI, , Dr. Gunardi, M.Si.
格式: Theses and Dissertations NonPeerReviewed
出版: [Yogyakarta] : Universitas Gadjah Mada 2014
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ETD
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http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=72486
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spelling id-ugm-repo.1319722016-03-04T07:57:21Z https://repository.ugm.ac.id/131972/ PERBANDINGAN UJI T STATISTIK RATA-RATA TERBOBOT DENGAN RATA-RATA TIDAK TERBOBOT PADA DATA KEUANGAN: (Studi Kasus Yield Obligasi Muncipal dan Korporasi Amerika Serikat dengan Rating AAA , INDAH MENTARI , Dr. Gunardi, M.Si. ETD Means is technic to explanation the group or size in center set of data. Usually, a common statistical question arises when two random samples are taken from two different normal populations, possibly with different variances, and wish to know whether or not the means of the two populations are equal. To examine the similarity of the average, typically use t-test mean two samples. In this minithesis will describe about expansion of t-test mean two samples using tstatistic weighted means. This methode present a generalization of the two-sample t-test for equality of the means to the case where the sample values are to be given unequal weights. This is a natural situation in financial return modelling where some samples are considered more reliable than others in predicting a common mean. In this case show with an example of yield data that using the standard unweighted t-test can lead to the wrong statistical conclusion. [Yogyakarta] : Universitas Gadjah Mada 2014 Thesis NonPeerReviewed , INDAH MENTARI and , Dr. Gunardi, M.Si. (2014) PERBANDINGAN UJI T STATISTIK RATA-RATA TERBOBOT DENGAN RATA-RATA TIDAK TERBOBOT PADA DATA KEUANGAN: (Studi Kasus Yield Obligasi Muncipal dan Korporasi Amerika Serikat dengan Rating AAA. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=72486
institution Universitas Gadjah Mada
building UGM Library
country Indonesia
collection Repository Civitas UGM
topic ETD
spellingShingle ETD
, INDAH MENTARI
, Dr. Gunardi, M.Si.
PERBANDINGAN UJI T STATISTIK RATA-RATA TERBOBOT DENGAN RATA-RATA TIDAK TERBOBOT PADA DATA KEUANGAN: (Studi Kasus Yield Obligasi Muncipal dan Korporasi Amerika Serikat dengan Rating AAA
description Means is technic to explanation the group or size in center set of data. Usually, a common statistical question arises when two random samples are taken from two different normal populations, possibly with different variances, and wish to know whether or not the means of the two populations are equal. To examine the similarity of the average, typically use t-test mean two samples. In this minithesis will describe about expansion of t-test mean two samples using tstatistic weighted means. This methode present a generalization of the two-sample t-test for equality of the means to the case where the sample values are to be given unequal weights. This is a natural situation in financial return modelling where some samples are considered more reliable than others in predicting a common mean. In this case show with an example of yield data that using the standard unweighted t-test can lead to the wrong statistical conclusion.
format Theses and Dissertations
NonPeerReviewed
author , INDAH MENTARI
, Dr. Gunardi, M.Si.
author_facet , INDAH MENTARI
, Dr. Gunardi, M.Si.
author_sort , INDAH MENTARI
title PERBANDINGAN UJI T STATISTIK RATA-RATA TERBOBOT DENGAN RATA-RATA TIDAK TERBOBOT PADA DATA KEUANGAN: (Studi Kasus Yield Obligasi Muncipal dan Korporasi Amerika Serikat dengan Rating AAA
title_short PERBANDINGAN UJI T STATISTIK RATA-RATA TERBOBOT DENGAN RATA-RATA TIDAK TERBOBOT PADA DATA KEUANGAN: (Studi Kasus Yield Obligasi Muncipal dan Korporasi Amerika Serikat dengan Rating AAA
title_full PERBANDINGAN UJI T STATISTIK RATA-RATA TERBOBOT DENGAN RATA-RATA TIDAK TERBOBOT PADA DATA KEUANGAN: (Studi Kasus Yield Obligasi Muncipal dan Korporasi Amerika Serikat dengan Rating AAA
title_fullStr PERBANDINGAN UJI T STATISTIK RATA-RATA TERBOBOT DENGAN RATA-RATA TIDAK TERBOBOT PADA DATA KEUANGAN: (Studi Kasus Yield Obligasi Muncipal dan Korporasi Amerika Serikat dengan Rating AAA
title_full_unstemmed PERBANDINGAN UJI T STATISTIK RATA-RATA TERBOBOT DENGAN RATA-RATA TIDAK TERBOBOT PADA DATA KEUANGAN: (Studi Kasus Yield Obligasi Muncipal dan Korporasi Amerika Serikat dengan Rating AAA
title_sort perbandingan uji t statistik rata-rata terbobot dengan rata-rata tidak terbobot pada data keuangan: (studi kasus yield obligasi muncipal dan korporasi amerika serikat dengan rating aaa
publisher [Yogyakarta] : Universitas Gadjah Mada
publishDate 2014
url https://repository.ugm.ac.id/131972/
http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=72486
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