Book description
Master the concepts and techniques of statistical analysis using JMPPractical Data Analysis with JMP, Third Edition, highlights the powerful interactive and visual approach of JMP to introduce readers to statistical thinking and data analysis. It helps you choose the best technique for the problem at hand by using realworld cases. It also illustrates bestpractice workflow throughout the entire investigative cycle, from asking valuable questions through data acquisition, preparation, analysis, interpretation, and communication of findings.
The book can stand on its own as a learning resource for professionals, or it can be used to supplement a collegelevel textbook for an introductory statistics course. It includes varied examples and problems using real sets of data. Each chapter typically starts with an important or interesting research question that an investigator has pursued. 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.
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.
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.
Table of contents
 Contents
 About This Book
 About The Author
 Chapter 1: Getting Started: Data Analysis with JMP
 Chapter 2: Data Sources and Structures

Chapter 3: Describing a Single Variable
 Overview
 The Concept of a Distribution
 Variable Types and Their Distributions
 Distribution of a Categorical Variable
 Using Graph Builder to Explore Categorical Data Visually
 Distribution of a Quantitative Variable
 Using the Distribution Platform for Continuous Data
 Exploring Further with the Graph Builder
 Summary Statistics for a Single Variable
 Application
 Chapter 4: Describing Two Variables at a Time

Chapter 5: Review of Descriptive Statistics
 Overview
 The World Development Indicators1
 Questions for Analysis
 Applying an Analytic Framework
 Preparation for Analysis
 Univariate Descriptions
 Explore Relationships with Graph Builder
 Further Analysis with the Multivariate Platform
 Further Analysis with Fit Y by X
 Summing Up: Interpretation and Conclusions
 Visualizing Multiple Relationships

Chapter 6: Elementary Probability and Discrete Distributions
 Overview
 The Role of Probability in Data Analysis
 Elements of Probability Theory
 Contingency Tables and Probability
 Discrete Random Variables: From Events to Numbers
 Three Common Discrete Distributions
 Simulating Random Variation with JMP
 Discrete Distributions as Models of Real Processes
 Application
 Chapter 7: The Normal Model
 Chapter 8: Sampling and Sampling Distributions
 Chapter 9: Review of Probability and Probabilistic Sampling
 Chapter 10: Inference for a Single Categorical Variable
 Chapter 11: Inference for a Single Continuous Variable
 Chapter 12: ChiSquare Tests
 Chapter 13: TwoSample Inference for a Continuous Variable
 Chapter 14: Analysis of Variance
 Chapter 15: Simple Linear Regression Inference
 Chapter 16: Residuals Analysis and Estimation
 Chapter 17: Review of Univariate and Bivariate Inference
 Chapter 18: Multiple Regression
 Chapter 19: Categorical, Curvilinear, and NonLinear Regression Models
 Chapter 20: Basic Forecasting Techniques
 Chapter 21: Elements of Experimental Design
 Chapter 22: Quality Improvement
 Bibliography
 Index
Product information
 Title: Practical Data Analysis with JMP, Third Edition, 3rd Edition
 Author(s):
 Release date: October 2019
 Publisher(s): SAS Institute
 ISBN: 9781642956122
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