{"title":"选择统计检验。","authors":"Shraddha Parab, Supriya Bhalerao","doi":"10.4103/0974-7788.72494","DOIUrl":null,"url":null,"abstract":"Statistical tests are mathematical tools for analyzing quantitative data generated in a research study. The multitude of statistical tests makes a researcher difficult to remember which statistical test to use in which condition. There are various points which one needs to ponder upon while choosing a statistical test. These include the type of study design (which we discussed in the last issue), number of groups for comparison and type of data (i.e., continuous, dichotomous or categorical).","PeriodicalId":88901,"journal":{"name":"International journal of Ayurveda research","volume":"1 3","pages":"187-91"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4103/0974-7788.72494","citationCount":"56","resultStr":"{\"title\":\"Choosing statistical test.\",\"authors\":\"Shraddha Parab, Supriya Bhalerao\",\"doi\":\"10.4103/0974-7788.72494\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Statistical tests are mathematical tools for analyzing quantitative data generated in a research study. The multitude of statistical tests makes a researcher difficult to remember which statistical test to use in which condition. There are various points which one needs to ponder upon while choosing a statistical test. These include the type of study design (which we discussed in the last issue), number of groups for comparison and type of data (i.e., continuous, dichotomous or categorical).\",\"PeriodicalId\":88901,\"journal\":{\"name\":\"International journal of Ayurveda research\",\"volume\":\"1 3\",\"pages\":\"187-91\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.4103/0974-7788.72494\",\"citationCount\":\"56\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of Ayurveda research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4103/0974-7788.72494\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of Ayurveda research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/0974-7788.72494","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Statistical tests are mathematical tools for analyzing quantitative data generated in a research study. The multitude of statistical tests makes a researcher difficult to remember which statistical test to use in which condition. There are various points which one needs to ponder upon while choosing a statistical test. These include the type of study design (which we discussed in the last issue), number of groups for comparison and type of data (i.e., continuous, dichotomous or categorical).