{"product_id":"9781461421337","title":"Two-Way Analysis of Variance: Statistical Tests and Graphics Using R","description":"\u003cp\u003e​In statistics, analysis of variance (ANOVA) is a collection of statistical models used to distinguish between an observed variance in a particular variable and its component parts. In its simplest form, ANOVA provides a statistical test of whether or not the means of several groups are all equal, and therefore generalizes a test between these groups. One test often used by statisticians and researchers in their work is the Two-Way ANOVA, which determines the differences—and possible interactions—when variables are presented from the perspective of two or more categories. When a Two-Way ANOVA is implemented, it enables one to compare and contrast variables resulting from independent or joint actions. This brief provides guidance on how R can be used to facilitate Two-Way ANOVA for data analysis and graphical presentation. Along with instruction on the use of R and R syntax associated with Two-Way ANOVA, this brief will also reinforce the use of descriptive statistics and graphical figures to complement outcomes from parametric Two-Way ANOVA.\u003c\/p\u003e","brand":"Springer New York","offers":[{"title":"Default Title","offer_id":47054402093296,"sku":"9781461421337","price":65.13,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781461421337_p0.jpg?v=1763673720","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781461421337","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}