{"title":"利用模拟计算进行双样本非配对 T 检验功率计算","authors":"Prasanth Sambaraju","doi":"10.14232/analecta.2023.4.10-15","DOIUrl":null,"url":null,"abstract":"Statistical tests like t test are used to test the hypothesis for comparison of mean between two groups. The result from a t test is used to determine if there a significant difference between the two samples mean, which cannot be attributed to sampling error or to random occurrence. A t test is considered a parametric test, meaning test samples should meet assumptions of normality, equal variances and independence. The article aims to calculate the power of unpaired t test using simulation in Microsoft Excel.","PeriodicalId":213647,"journal":{"name":"Analecta Technica Szegedinensia","volume":"253 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Two sample unpaired T-test power calculation using simulation\",\"authors\":\"Prasanth Sambaraju\",\"doi\":\"10.14232/analecta.2023.4.10-15\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Statistical tests like t test are used to test the hypothesis for comparison of mean between two groups. The result from a t test is used to determine if there a significant difference between the two samples mean, which cannot be attributed to sampling error or to random occurrence. A t test is considered a parametric test, meaning test samples should meet assumptions of normality, equal variances and independence. The article aims to calculate the power of unpaired t test using simulation in Microsoft Excel.\",\"PeriodicalId\":213647,\"journal\":{\"name\":\"Analecta Technica Szegedinensia\",\"volume\":\"253 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-11-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Analecta Technica Szegedinensia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14232/analecta.2023.4.10-15\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analecta Technica Szegedinensia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14232/analecta.2023.4.10-15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
t 检验等统计检验用于检验两组平均值比较的假设。t 检验的结果用于确定两个样本的平均值之间是否存在显著差异，这种差异不能归因于抽样误差或随机发生。t 检验被视为参数检验，即检验样本应符合正态性、等方差和独立性假设。本文旨在使用 Microsoft Excel 进行模拟，计算非配对 t 检验的功率。
Two sample unpaired T-test power calculation using simulation
Statistical tests like t test are used to test the hypothesis for comparison of mean between two groups. The result from a t test is used to determine if there a significant difference between the two samples mean, which cannot be attributed to sampling error or to random occurrence. A t test is considered a parametric test, meaning test samples should meet assumptions of normality, equal variances and independence. The article aims to calculate the power of unpaired t test using simulation in Microsoft Excel.
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