ScholarGate
Pembantu

Bandingkan kaedah

Semak kaedah pilihan anda secara bersebelahan; baris yang berbeza akan diserlahkan.

Analisis Varians Satu Hala×Ujian-t Sampel Berpasangan×
BidangStatistikStatistik
KeluargaHypothesis testHypothesis test
Tahun asal19251908
PengasasRonald A. FisherStudent (W. S. Gosset)
JenisParametric mean comparisonParametric mean comparison (paired)
Sumber perintisFisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed.). SAGE. ISBN: 978-1446249185
Aliasone-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVAdependent samples t-test, repeated measures t-test, matched-pairs t-test, eşleştirilmiş örneklem t-testi
Berkaitan44
RingkasanOne-way ANOVA is a parametric hypothesis test that compares the means of three or more independent groups on a single continuous outcome to decide whether at least one group mean differs. It rests on the variance-partitioning framework introduced by Ronald A. Fisher in 1925.The paired samples t-test is a parametric hypothesis test that compares two measurements taken on the same subjects — such as a before and after reading — to decide whether the average change differs from zero. It rests on the t-distribution introduced by Student (W. S. Gosset) in 1908 and works on the within-subject difference scores rather than the raw measurements.
ScholarGateSet data
  1. v1
  2. 2 Sumber
  3. PUBLISHED
  1. v1
  2. 2 Sumber
  3. PUBLISHED

Pergi ke carian Muat turun slaid

ScholarGateBandingkan kaedah: One-way ANOVA · Paired t-test. Dicapai 2026-06-20 daripada https://scholargate.app/ms/compare