Korean J Anesthesiol.  2015 Dec;68(6):540-546. 10.4097/kjae.2015.68.6.540.

T test as a parametric statistic

• Kim TK

• KMID: 2237303
• DOI: http://doi.org/10.4097/kjae.2015.68.6.540

Abstract

In statistic tests, the probability distribution of the statistics is important. When samples are drawn from population N (micro, sigma2) with a sample size of n, the distribution of the sample mean X should be a normal distribution N (micro, sigma2/n). Under the null hypothesis micro = micro0, the distribution of statistics z=X-micro0/sigma/radical(n) should be standardized as a normal distribution. When the variance of the population is not known, replacement with the sample variance s2 is possible. In this case, the statistics X-micro0/s/radical(n) follows a t distribution (n-1 degrees of freedom). An independent-group t test can be carried out for a comparison of means between two independent groups, with a paired t test for paired data. As the t test is a parametric test, samples should meet certain preconditions, such as normality, equal variances and independence.

Keyword

Biostatistics; Matched-pair analysis; Normal distribution; Probability

MeSH Terms

Biostatistics
Matched-Pair Analysis
Normal Distribution
Sample Size