T test as a parametric statistic.
10.4097/kjae.2015.68.6.540
- Author:
Tae Kyun KIM
1
Author Information
1. Department of Anesthesia and Pain Medicine, Pusan National University School of Medicine, Busan, Korea. anesktk@pusan.ac.kr
- Publication Type:Review
- Keywords:
Biostatistics;
Matched-pair analysis;
Normal distribution;
Probability
- MeSH:
Biostatistics;
Matched-Pair Analysis;
Normal Distribution;
Sample Size
- From:Korean Journal of Anesthesiology
2015;68(6):540-546
- CountryRepublic of Korea
- Language:English
-
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.
