T test as a parametric statistic
In statistic tests, the probability distribution of the statistics is important. When samples are drawn from population N (µ, σ(2)) with a sample size of n, the distribution of the sample mean X̄ should be a normal distribution N (µ, σ(2)/n). Under the null hypothesis µ = µ0, the distribution of sta...
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| Vydané v: | Korean journal of anesthesiology Ročník 68; číslo 6; s. 540 - 546 |
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| Hlavný autor: | |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Korea (South)
The Korean Society of Anesthesiologists
01.12.2015
Korean Society of Anesthesiologists 대한마취통증의학회 |
| Predmet: | |
| ISSN: | 2005-6419, 2005-7563 |
| On-line prístup: | Získať plný text |
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| Shrnutí: | In statistic tests, the probability distribution of the statistics is important. When samples are drawn from population N (µ, σ(2)) with a sample size of n, the distribution of the sample mean X̄ should be a normal distribution N (µ, σ(2)/n). Under the null hypothesis µ = µ0, the distribution of statistics [Formula: see text] should be standardized as a normal distribution. When the variance of the population is not known, replacement with the sample variance s (2) is possible. In this case, the statistics [Formula: see text] 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. |
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| Bibliografia: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-3 content type line 23 ObjectType-Review-1 G704-000679.2015.68.6.003 |
| ISSN: | 2005-6419 2005-7563 |
| DOI: | 10.4097/kjae.2015.68.6.540 |