{"title":"一个与两个样本t检验之间p值结果的比较:一个案例研究","authors":"J. Hart","doi":"10.7243/2053-7662-9-1","DOIUrl":null,"url":null,"abstract":"The one-sample t test compares a sample to a known average. The standard deviation (SD) is known for the sample but not for the known average. This study compares p-values from one-sample versus two-sample t testing where SD is also known with the known average to see if the lack of information on SD makes a difference in p-values calculated with versus without the SD. Having confidence in a t test p-value is to have confidence in whether the difference in means happened by chance or not.","PeriodicalId":91324,"journal":{"name":"Journal of medical statistics and informatics","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Comparison of p-value results between one versus two sample t testing: A case study\",\"authors\":\"J. Hart\",\"doi\":\"10.7243/2053-7662-9-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The one-sample t test compares a sample to a known average. The standard deviation (SD) is known for the sample but not for the known average. This study compares p-values from one-sample versus two-sample t testing where SD is also known with the known average to see if the lack of information on SD makes a difference in p-values calculated with versus without the SD. Having confidence in a t test p-value is to have confidence in whether the difference in means happened by chance or not.\",\"PeriodicalId\":91324,\"journal\":{\"name\":\"Journal of medical statistics and informatics\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of medical statistics and informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7243/2053-7662-9-1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of medical statistics and informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7243/2053-7662-9-1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparison of p-value results between one versus two sample t testing: A case study
The one-sample t test compares a sample to a known average. The standard deviation (SD) is known for the sample but not for the known average. This study compares p-values from one-sample versus two-sample t testing where SD is also known with the known average to see if the lack of information on SD makes a difference in p-values calculated with versus without the SD. Having confidence in a t test p-value is to have confidence in whether the difference in means happened by chance or not.