3/17/2023 0 Comments Jmp graph builder labels46 Exploring Further with the Graph Builder. Iv Contents Using the Distribution Platform for Continuous Data. 44 Distribution of a Quantitative Variable. 41 Using Graph Builder to Explore Categorical Data Visually. 39 Variable Types and Their Distributions.40 Distribution of a Categorical Variable. 36 Application.37Ĭhapter 3: Describing a Single Variable. 28 Study Design: Experimentation, Observation, and Surveying. 25 Cross-Sectional and Time Series Sampling. 21Ĭhapter 2: Data Sources and Structures. 5 Graph Builder: An Interactive Tool to Explore Data. 1 Goals of Data Analysis: Description and Inference. xvii Chapter 1: Getting Started: Data Analysis with JMP. For license information about thirdparty software distributed with SAS software, refer to. SAS software may be provided with certain third-party software, including but not limited to open-source software, which is licensed under its applicable third-party software license agreement. Other brand and product names are trademarks of their respective companies. product or service names are registered trademarks or trademarks of SAS Institute Inc. SAS Institute Inc., SAS Campus Drive, Cary, NC 27513-2414 October 2019 SAS® and all other SAS Institute Inc. The Government’s rights in Software and documentation shall be only those set forth in this Agreement. If FAR 52.227-19 is applicable, this provision serves as notice under clause (c) thereof and no other notice is required to be affixed to the Software or documentation. federal law, the minimum restricted rights as set out in FAR 52.227-19 (DEC 2007). Use, duplication, or disclosure of the Software by the United States Government is subject to the license terms of this Agreement pursuant to, as applicable, FAR 12.212, DFAR 227.7202-1(a), DFAR 227.7202-3(a), and DFAR 227.7202-4, and, to the extent required under U.S. Government License Rights Restricted Rights: The Software and its documentation is commercial computer software developed at private expense and is provided with RESTRICTED RIGHTS to the United States Government. Your support of others’ rights is appreciated. Please purchase only authorized electronic editions and do not participate in or encourage electronic piracy of copyrighted materials. The scanning, uploading, and distribution of this book via the Internet or any other means without the permission of the publisher is illegal and punishable by law. For a web download or e-book: Your use of this publication shall be governed by the terms established by the vendor at the time you acquire this publication. For a hard copy book: No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, or otherwise, without the prior written permission of the publisher, SAS Institute Inc. ![]() Produced in the United States of America. ![]() Practical Data Analysis with JMP®, Third Edition. The correct bibliographic citation for this manual is as follows: Carver, Robert. ![]() New in the third edition, chapters have been updated to demonstrate the enhanced capabilities of JMP, including projects, Graph Builder, Query Builder, and Formula Depot. Application Scenarios at the end of each chapter challenge you to use your knowledge and skills with data sets that go beyond mere repetition of chapter examples. Reflecting the broad applicability of statistical reasoning, the problems come from a wide variety of disciplines, including engineering, life sciences, business, and economics, as well as international and historical examples. Each chapter typically starts with an important or interesting research question that an investigator has pursued. It includes varied examples and problems using real sets of data. The book can stand on its own as a learning resource for professionals, or it can be used to supplement a college-level textbook for an introductory statistics course. It also illustrates best-practice workflow throughout the entire investigative cycle, from asking valuable questions through data acquisition, preparation, analysis, interpretation, and communication of findings. It helps you choose the best technique for the problem at hand by using real-world cases. Master the concepts and techniques of statistical analysis using JMP(R) Practical Data Analysis with JMP(R), Third Edition, highlights the powerful interactive and visual approach of JMP to introduce readers to statistical thinking and data analysis.
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