{"product_id":"statistics-for-engineering-and-the-sciences-9781498728850","title":"Statistics for Engineering and the Sciences","description":"\u003cp\u003e • Author(s): William M. Mendenhall\u003cbr\u003e • Publisher: Taylor \u0026amp; Francis\u003cbr\u003e • Publisher Imprint: CRC Press\u003cbr\u003e • BISAC: Probability \u0026amp; Statistics - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cem\u003ePrepare Your Students for Statistical Work in the Real World\u003c\/em\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eStatistics for Engineering and the Sciences, Sixth Edition\u003c\/strong\u003e is designed for a two-semester introductory course on statistics for students majoring in engineering or any of the physical sciences. This popular text continues to teach students the basic concepts of data description and statistical inference as well as the statistical methods necessary for real-world applications. Students will understand how to collect and analyze data and think critically about the results.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eNew to the Sixth Edition\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e \u003cli\u003eMany new and updated exercises based on contemporary engineering and scientific-related studies and real data\u003c\/li\u003e \u003cli\u003eMore statistical software printouts and corresponding instructions for use that reflect the latest versions of the SAS, SPSS, and MINITAB software\u003c\/li\u003e \u003cli\u003eIntroduction of the case studies at the beginning of each chapter\u003c\/li\u003e \u003cli\u003eStreamlined material on all basic sampling concepts, such as random sampling and sample survey designs, which gives students an earlier introduction to key sampling issues\u003c\/li\u003e \u003cli\u003eNew examples on comparing matched pairs versus independent samples, selecting the sample size for a designed experiment, and analyzing a two-factor experiment with quantitative factors\u003c\/li\u003e \u003cli\u003eNew section on using regression residuals to check the assumptions required in a simple linear regression analysis\u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003eThe first several chapters of the book identify the objectives of statistics, explain how to describe data, and present the basic concepts of probability. The text then introduces the two methods for making inferences about population parameters: estimation with confidence intervals and hypothesis testing. The remaining chapters extend these concepts to cover other topics useful in analyzing engineering and scientific data, including the analysis of categorical data, regression analysis, model building, analysis of variance for designed experiments, nonparametric statistics, statistical quality control, and product and system reliability.\u003c\/p\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Hardcover","offer_id":45237324677271,"sku":"9781498728850","price":8059.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781498728850.webp?v=1769216222","url":"https:\/\/atlanticbooks.com\/products\/statistics-for-engineering-and-the-sciences-9781498728850","provider":"Atlantic Books","version":"1.0","type":"link"}