{"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}
引用次数: 56
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).
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