2015, Number 1
<< Back
Rev Mex Cardiol 2015; 26 (1)
Student’s t. Uses and abuses
Sánchez TRA
Language: Spanish
References: 7
Page: 59-61
PDF size: 123.91 Kb.
ABSTRACT
Student’s t test is based on two premises; first: normality of distribution and second: the independence of the samples. This allows comparing samples N ≤ 30 and/or establishes the differences between the means of the two samples. The mathematical and statistical analysis of the test is frequently minimalized N › 30, using non parametric tests, when the test has enough statistical power.
REFERENCES
By Student. The probable error of a mean. Biometrika. 1908; 6: 1-25.
Fagerland MW. t-tests, non-parametric tests, and large studies-a paradox of statistical practice? BMC Med Res Methodol. 2012; 12: 78-85.
Dawson-Saunders B, Trapp Robert G. Bioestadística Médica. México, Editorial Manual Moderno, 1993.
Wayne W. Daniel. Bioestadística base para el análisis de las ciencias de la salud. 4ª ed. México, Limusa Wiley. 2002.
Zar Jerrold H. Biostatistical analysis. Prentice Hall. Inc. Fifth edition. New York, USA, Prentice Hall, 2010.
Satterthwaite FE. An approximate distribution of estimates of variance components. Biometrics Bul. 1946; 2: 110-114.
Welch BL. Generalization of “student’s” problem when several different population variances are involved. Biometrika. 1947; 34: 28-35.
Full text