{"product_id":"introduction-to-nonparametric-statistics-for-the-biological-sciences-using-r-9783319306339","title":"Introduction to Nonparametric Statistics for the Biological Sciences Using R","description":"\u003cp\u003e • Author(s): Thomas W. Macfarland\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Biostatistics\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis book contains a rich set of tools for nonparametric analyses, and the purpose of this supplemental text is to provide guidance to students and professional researchers on how R is used for nonparametric data analysis in the biological sciences: \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eTo introduce when nonparametric approaches to data analysis are appropriate\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eTo introduce the leading nonparametric tests commonly used in biostatistics and how R is used to generate appropriate statistics for each test\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eTo introduce common figures typically associated with nonparametric data analysis and how R is used to generate appropriate figures in support of each data set\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe book focuses on how R is used to distinguish between data that could be classified as nonparametric as opposed to data that could be classified as parametric, with both approaches to data classification covered extensively.\u003c\/p\u003e\u003cp\u003eFollowing an introductory lesson on nonparametric statistics for the biological sciences, the book is organized into eight self-contained lessons on various analyses and tests using R to broadly compare differences between data sets and statistical approach.\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis supplemental text is intended for: \u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUpper-level undergraduate and graduate students majoring in the biological sciences, specifically those in agriculture, biology, and health science - both students in lecture-type courses and also those engaged in research projects, such as a master's thesis or a doctoral dissertation\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eAnd biological researchers at the professional level without a nonparametric statistics background but who regularly work with data more suitable to a nonparametric approach to data analysis\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Hardcover","offer_id":45275579908247,"sku":"9783319306339","price":6610.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783319306339.webp?v=1769283345","url":"https:\/\/atlanticbooks.com\/products\/introduction-to-nonparametric-statistics-for-the-biological-sciences-using-r-9783319306339","provider":"Atlantic Books","version":"1.0","type":"link"}