Book description
This book provides hands-on tutorials with just the right amount of conceptual and motivational material to illustrate how to use the intuitive interface for data analysis in JMP. Each chapter features concept-specific tutorials,
examples, brief reviews of concepts, step-by-step illustrations, and exercises.
Updated for JMP 13, JMP Start Statistics, Sixth Edition includes many new features, including:
The redesigned Formula Editor.
New and improved ways to create formulas in JMP directly from the data table or dialogs.
Interface updates, including improved menu layout.
Updates and enhancements in many analysis platforms.
New ways to get data into JMP and to save and share JMP results.
Many new features that make it easier to use JMP.
Table of contents
- Preface
- 1 Preliminaries
- 2 Getting Started with JMP
- 3 Data Tables, Reports, and Scripts
- 4 Formula Editor
- 5 What Are Statistics?
- 6 Simulations
-
7 Univariate Distributions: One Variable, One Sample
- Overview
- Looking at Distributions
- Describing Distributions of Values
- Statistical Inference on the Mean
- Practical Significance versus Statistical Significance
- Examining for Normality
- Special Topic: Practical Difference
- Special Topic: Simulating the Central Limit Theorem
- Seeing Kernel Density Estimates
- Exercises
-
8 The Difference Between Two Means
- Overview
-
Two Independent Groups
- When the Difference Isn’t Significant
- Check the Data
- Launch the Fit Y by X Platform
- Examine the Plot
- Display and Compare the Means
- Inside the Student’s t-Test
- Equal or Unequal Variances?
- One-Sided Version of the Test
- Analysis of Variance and the All-Purpose F-Test
- How Sensitive Is the Test?
- How Many More Observations Are Needed?
- When the Difference Is Significant
- Normality and Normal Quantile Plots
- Testing Means for Matched Pairs
- Two Extremes of Neglecting the Pairing Situation: A Dramatization
- A Nonparametric Approach
- Exercises
- 9 Comparing Many Means: One-Way Analysis of Variance
- 10 Fitting Curves through Points: Regression
- 11 Categorical Distributions
-
12 Categorical Models
- Overview
- Fitting Categorical Responses to Categorical Factors: Contingency Tables
- Two-Way Tables: Entering Count Data
- If You Have a Perfect Fit
- Special Topic: Correspondence Analysis— Looking at Data with Many Levels
- Continuous Factors with Categorical Responses: Logistic Regression
- Surprise: Simpson’s Paradox: Aggregate Data versus Grouped Data
- Generalized Linear Models
- Exercises
- 13 Multiple Regression
-
14 Fitting Linear Models
- Overview
-
The General Linear Model
- Types of Effects in Linear Models
- Coding Scheme to Fit a One-Way ANOVA as a Linear Model
- Regressor Construction
- Interpretation of Parameters
- Predictions Are the Means
- Parameters and Means
- Analysis of Covariance: Continuous and Categorical Terms in the Same Model
- The Prediction Equation
- The Whole-Model Test and Leverage Plot
- Effect Tests and Leverage Plots
- Least Squares Means
- Lack of Fit
- Separate Slopes: When the Covariate Interacts with a Categorical Effect
- Two-Way Analysis of Variance and Interactions
- Optional Topic: Random Effects and Nested Effects
- Exercises
- 15 Design of Experiments
- 16 Bivariate and Multivariate Relationships
- 17 Exploratory Modeling
- 18 Control Charts and Capability
- 19 Mechanics of Statistics
-
A Answers to Selected Exercises
- Chapter 4, “Formula Editor”
- Chapter 7, “Univariate Distributions: One Variable, One Sample”
- Chapter 8, “The Difference Between Two Means”
- Chapter 9, “Comparing Many Means: One-Way Analysis of Variance”
- Chapter 10, “Fitting Curves through Points: Regression”
- Chapter 11, “Categorical Distributions”
- Chapter 12, “Categorical Models”
- Chapter 13, “Multiple Regression”
- Chapter 14, “Fitting Linear Models”
- Chapter 15, “Design of Experiments”
- Chapter 16, “Bivariate and Multivariate Relationships”
- Chapter 17, “Exploratory Modeling”
- Chapter 18, “Control Charts and Capability”
- B References and Data Sources
- Technology License Notices
- Index
Product information
- Title: JMP Start Statistics, 6th Edition
- Author(s):
- Release date: February 2017
- Publisher(s): SAS Institute
- ISBN: 9781629608761
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