Each chapter ends with a summary and a collection of problems for further study.Simple Linear Regression | An Easy Introduction & Examples Relevant output from this analysis is used to explain each method and to provide the basis for interpretation. Each example starts with a problem definition and data requirements, followed by a step-by-step analysis with JMP. Examples from business and industry serve to introduce each topic. The easy-to-use format includes verbal and graphical explanations and promotes standard problem-solving techniques, with a limited use of formulas. Designed for business and MBA students, as well as industry professionals who need to use and interpret statistics, JMP Means Business covers data collection, descriptive statistics, distributions, confidence intervals and hypothesis tests, analysis of variance, contingency tables, simple and multiple regression, and exponential smoothing of time series. JMP Means Business by Josef Schmee Jane Oppenlander JMP Means Business: Statistical Models for Management, by Josef Schmee and Jane Oppenlander, covers basic methods and models of classical statistics. JMP Essentials: An Illustrated Step-by-Step Guide for New Users, Second Edition is the quickest and most accessible reference book available. In addition, each chapter contains a family of features that are carefully crafted to first introduce you to basic features and then on to more advanced ones. In most cases, each section completes a JMP task, which maximizes the book's utility as a reference.
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It adopts a show-and-tell design with essential step-by-step instructions and corresponding screen illustrations, which help users quickly see how to generate the desired results. In addition, it has eight new detailed sections and 10 new subsections that include creating maps, filtering data, creating dashboards, and working with Excel data, all of which highlight new, useful and basic level enhancements to JMP. This newest edition has all new instructions and screen shots reflecting the latest release of JMP software. Drawing on their own experience working with these customers, the authors provide essential steps for what new users typically need to carry out with JMP.
JMP Essentials by Curt Hinrichs Chuck Boiler Grasp essential steps in order to generate meaningful results quickly with JMP.JMP Essentials: An Illustrated Step-by-Step Guide for New Users, Second Edition is designed for the new or occasional JMP user who needs to generate meaningful graphs or results quickly. The book aims to create bioscientists who can competently incorporate statistics into their investigative toolkits to solve biological research questions as they arise. Topics of particular interest to the biological or health science field include odds ratios, relative risk, and survival analysis.The author uses an engaging, conversational tone to explain concepts and keep readers interested in learning more. Using the powerful capabilities of JMP, the book addresses problems requiring analysis by chi-square tests, t tests, ANOVA analysis, various regression models, DOE, and survival analysis. It covers many of the basic topics in statistics using biological examples for exercises so that the student biologists can see the relevance to future work in the problems addressed.The book starts by teaching students how to become confident in executing the right analysis by thinking like a statistician then moves into the application of specific tests. Introduction to Biostatistics with JMP by Steve Figard Explore biostatistics using JMP in this refreshing introductionPresented in an easy-to-understand way, Introduction to Biostatistics with JMP introduces undergraduate students in the biological sciences to the most commonly used (and misused) statistical methods that they will need to analyze their experimental data using JMP.
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