JMP Start Statistics 第六版：数据解析指南无水印PDF

5星 · 超过95%的资源需积分: 15 58 浏览量更新于2024-07-18 收藏 10.42MB PDF 举报

"JMP Start Statistics A Guide to Statistics and Data Analysis Using JMP(6th) 是一本无水印的英文原版PDF书籍，适用于第6版。这本书可在多种PDF阅读器上正常打开，包括FoxitReader、PDF-XChangeViewer、SumatraPDF和Firefox。如果存在侵权问题，可联系上传者或相关平台进行删除。该书的详细信息可以在美国亚马逊官网上查看。" 《JMP Start Statistics》是指导统计学和数据分析的实用手册，由John Sall、Ann Lehman、Mia Stephens和Sheila Loring合著，第六版由SAS Institute Inc.出版。本书的版权归SAS Institute Inc.所有，并提供了不同的版本，包括硬拷贝、EPUB、MOBI和WebPDF格式。每个版本的ISBN号也已在摘要中列出。这本书全面涵盖了统计学的基础知识和JMP软件的应用，旨在帮助读者掌握如何使用JMP进行有效的数据探索、分析和解释。JMP是一款强大的统计分析软件，广泛应用于科学研究、工程、商业和其他领域。书中可能包含的内容可能包括： 1. 数据导入和预处理：讲解如何在JMP中导入不同来源的数据，并进行清洗和整理。 2. 描述性统计：介绍如何计算平均值、中位数、标准差等基本统计量，以及如何绘制直方图、箱线图等图形。 3. 推断性统计：涵盖假设检验，如t检验、ANOVA（方差分析）、卡方检验等，以及置信区间估计。 4. 回归分析：讲解简单和多元线性回归、逻辑回归等模型的建立与解释。 5. 聚类分析：介绍如何通过JMP进行数据分类和聚类，如K-means方法。 6. 判别分析：讨论如何使用判别函数来预测类别或群体。 7. 时间序列分析：涉及ARIMA模型、季节性调整等时间序列预测技术。 8. 可视化工具：教授如何利用JMP创建交互式图表和可视化报告，帮助理解复杂数据模式。 9. 实验设计：探讨如何规划和分析实验，包括完全随机设计、析因设计等。 10. 质量控制工具：如控制图和过程能力分析，用于监控和改进生产过程。请注意，根据电子版的使用条款，未经出版社许可，禁止非法复制、存储、传输此书的任何部分，无论是电子、机械、影印还是其他方式。对于电子版或下载版，使用条件将根据购买时供应商设定的条款进行约束。《JMP Start Statistics》是学习统计学和数据挖掘的理想教材，特别是对于那些希望通过JMP软件进行数据分析的初学者。它不仅提供理论知识，还强调了实际操作，使得学习者能够快速上手并应用到实际工作中。

xvi Preface

JMP aims to present a graph with every statistic. You should always see the

analysis in both ways, with statistical text and graphics, without having to ask for

it. The text and graphs stay together.

JMP is controlled largely through point-and-click mouse manipulation. If you

place the pointer over a point, JMP identifies it. If you click on a point in a plot,

JMP highlights the point in the plot and highlights the point in the data table. In

fact, JMP highlights the point everywhere it is represented.

JMP has a progressive organization. You begin with a simple report at the top,

and as you analyze, more and more depth is revealed. The analysis is alive, and as

you dig deeper into the data, more and more options are offered according to the

context of the analysis.

In JMP, completeness is not measured by the “feature count,” but by the range of

possible applications, and the orthogonality of the tools. In JMP, you get a feeling

of being in more control despite your having less awareness of the control surface.

You also get a feeling that statistics is an orderly discipline that makes sense,

rather than an unorganized collection of methods.

A statistical software application is often the point of entry into the practice of

statistics. JMP strives to offer fulfillment rather than frustration, empowerment

rather than intimidation.

If you give someone a large truck, they will find someone to drive it for them. But

if you give them a sports car, they will learn to drive it themselves. We believe that

statistics can be interesting and reachable so that people will want to drive that

vehicle.

How to Get JMP

There are several ways to get JMP:

• JMP is available through department or campus licenses at most colleges and

universities and through site licenses in many organizations. See your

software IT administrator for availability and download information.

• Individual copies of JMP for academic use are also available from http://

onthehub.com/jmp. If you would like more information about academic

licensing or would like to request an evaluation copy of JMP for classroom

use, email academic@jmp.com.

xviii Preface

JMP versus JMP Pro

JMP was first released by SAS in 1989 to run on a Macintosh operating system,

and became available on Windows in the early 1990s. Since then, JMP has grown

into a family of products, each designed to meet particular needs.

In this book we use JMP Pro, which includes advanced tools for analytics and

predictive modeling. However, JMP Pro is not required to take full advantage of

the methods covered. Unless otherwise specified, the features that we discuss are

available in both JMP and JMP Pro.

This Book

Software Manual and Statistics Text

This book is a mix of software manual and statistics text. It is designed to be a

complete and orderly introduction to analyzing data. It is a teaching text, but is

especially useful when used in conjunction with a standard statistical textbook.

Not Just the Basics

A few of the techniques in this book are not found in most introductory statistics

courses, but are accessible in basic form using JMP. These techniques include

logistic regression, correspondence analysis, principal components with biplots,

leverage plots, and density estimation. All these techniques are used in the service

of understanding other, more basic methods. Where appropriate, supplemental

material is labeled as “Special Topics” so that it is recognized as optional material.

JMP also includes several advanced methods not covered in this book, such as

nonlinear regression, multivariate analysis of variance, tools for predictive

modeling and data mining, consumer research methods, text mining, and some

advanced design of experiments capabilities. If you are planning to use these

features extensively, it is recommended that you refer to the Help system or the

JMP documentation for the professional version of JMP.

Examples Both Real and Simulated

Most examples are real-world applications. A few simulations are included too,

so that the difference between a true value and its estimate can be discussed,

along with the variability in the estimates. Some examples are unusual and are

calculated to emphasize an important concept. The data for the examples are

installed with JMP, with step-by-step instructions in the text. The same data are

剩余659页未读，继续阅读

yinkaisheng-nj

粉丝: 764
资源: 6231

JMP Start Statistics 第六版：数据解析指南无水印PDF

JMP Automation reference (英文版）

JMP 12 DOE-Guide.pdf

jmp_user_guide.pdf

Practical Data Analysis with JMP （作者：Robert Carver）

Elementary Statistics Using JMP

JMP Basic Analysis

MATLAB and R Integration with JMP MATLAB 和 R 与 JMP 集成.pdf

如何利用JMP软件导入不同类型的数据并进行有效的预处理？请根据《JMP Start Statistics 第六版：数据解析指南无水印PDF》给出具体操作。

JMP JSL , how to recode data in column

JMP JSL, how to recode data in column

最新资源