For most articles in periodical literature,the standard deviations of quantitative data are smallerthan the corresponding means,which makes it acceptable to describethe data by x±s'.However,
This article mainly introduces statistical methods for analyzing univariate quantitative data in paired design,including the hypothesis testing whether the population mean represented by the differences equals to 0 an...This article mainly introduces statistical methods for analyzing univariate quantitative data in paired design,including the hypothesis testing whether the population mean represented by the differences equals to 0 and its confidence interval estimation.Also,this article gives typical examples in the field of medical research as well as solutions,SAS programs,explanations and results. Outlined below are the main issues discussed in this article:展开更多
文摘For most articles in periodical literature,the standard deviations of quantitative data are smallerthan the corresponding means,which makes it acceptable to describethe data by x±s'.However,
文摘This article mainly introduces statistical methods for analyzing univariate quantitative data in paired design,including the hypothesis testing whether the population mean represented by the differences equals to 0 and its confidence interval estimation.Also,this article gives typical examples in the field of medical research as well as solutions,SAS programs,explanations and results. Outlined below are the main issues discussed in this article: