JMP Start Statistics

John Sall, Mia L. Stephens, Ann Lehman, Sheila Loring

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.

Sujets

• Data visualization
• Analytics
• Exploratory data analysis
• Six Sigma

Informations

• Publié par: SAS Institute
• Date de parution: 21 février 2017
• Nombre de lectures: 0
• EAN13: 9781629608761
• Langue: English
• Poids de l'ouvrage: 21 Mo

Extrait

JMP Start Statistics
A Guide to Statistics and Data Analysis Using JMP
Sixth Edition
John Sall, Ann Lehman, Mia Stephens, and Sheila Loring
The correct bibliographic citation for this manual is as follows: John Sall, Ann Lehman, Mia Stephens, and Sheila Loring. JMP Start Statistics: A Guide to Statistics and Data Analysis Using JMP , Sixth Edition . Cary, NC: SAS Institute Inc.
JMP Start Statistics: A Guide to Statistics and Data Analysis Using JMP , Sixth Edition
Copyright 2017, SAS Institute Inc., Cary, NC, USA ISBN 978-1-62960-875-4 (Hardcopy) ISBN 978-1-62960-876-1 (EPUB) ISBN 978-1-62960-877-8 (MOBI) ISBN 978-1-62960-878-5 (Web PDF) All rights reserved. Produced in the United States of America.
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Table of Contents
Preface
The Software
How to Get JMP
JMP Start Statistics, Sixth Edition
SAS
JMP versus JMP Pro
This Book
1 Preliminaries
What You Need to Know
about statistics
Learning about JMP
on your own with JMP Help
hands-on examples
using Tutorials
reading about JMP
Chapter Organization
Typographical Conventions
2 Getting Started with JMP
Hello!
First Session
Tip of the Day
The JMP Starter (Macintosh)
The JMP Home Window (Windows)
Open a JMP Data Table
Launch an Analysis Platform
Interact with the Report Surface
Special Tools
Customize JMP
Modeling Type
Analyze and Graph
Navigating Platforms and Building Context
Contexts for a Histogram
Contexts for the t -Test
Contexts for a Scatterplot
Contexts for Nonparametric Statistics
The Personality of JMP
3 Data Tables, Reports, and Scripts
Overview
The Ins and Outs of a JMP Data Table
Selecting and Deselecting Rows and Columns
Mousing around a Data Table: Cursor Forms
Creating a New JMP Table
Define Rows and Columns
Enter Data
The New Column Command
Plot the Data
Importing Data
Importing Text Files
Importing Other File Types
Copy, Paste, and Drag Data
Moving Data Out of JMP
Saving Graphs and Reports
Copy and Paste
Drag Report Elements
Save JMP Reports and Graphs
Create Interactive Web Reports
Pop-up Menu Commands
Juggling Data Tables
Data Management
Give New Shape to a Table: Stack Columns
Creating Summary Statistics
Create Summary Statistics with the Summary Command
Create Summary Statistics with Tabulate
Working with Scripts
Creating Scripts
Running Data Table Scripts
Opening and Running Stand-alone Scripts
4 Formula Editor
Overview
The Formula Editor Window
The Formula Editor and the JMP Scripting Language
A Quick Example: Standardizing Data
Making a New Formula Column
Using Popular Formula Functions
Writing Conditional Expressions
Summarizing Data with the Formula Editor
Generating Random Data
Local Variables and Table Variables
Working with Dates
Tips on Building Formulas
Examining Expression Values
Cutting, Dragging, and Pasting Formulas
Selecting Expressions
Exercises
5 What Are Statistics?
Overview
Ponderings
The Business of Statistics
The Yin and Yang of Statistics
The Faces of Statistics
Don t Panic
Preparations
Three Levels of Uncertainty
Probability and Randomness
Assumptions
Data Mining?
Statistical Terms
6 Simulations
Overview
Rolling Dice
Rolling Several Dice
Flipping Coins, Sampling Candy, or Drawing Marbles
Probability of Making a Triangle
Confidence Intervals
Data Table-Based Simulations
Other JMP Simulators
Exercises
7 Univariate Distributions: One Variable, One Sample
Overview
Looking at Distributions
Probability Distributions
True Distribution Function or Real-World Sample Distribution
The Normal Distribution
Describing Distributions of Values
Generating Random Data
Histograms
Stem-and-Leaf Plots
Dot Plots
Outlier and Quantile Box Plots
Mean and Standard Deviation
Median and Other Quantiles
Mean versus Median
Other Summary Statistics: Skewness and Kurtosis
Extremes, Tail Detail
Statistical Inference on the Mean
Standard Error of the Mean
Confidence Intervals for the Mean
Testing Hypotheses: Terminology
The Normal z -Test for the Mean
Case Study: The Earth s Ecliptic
Student s t -Test
Comparing the Normal and Student s t Distributions
Testing the Mean
The p -Value Animation
Power of the t -Test
Practical Significance versus Statistical Significance
Examining for Normality
Normal Quantile Plots
Statistical Tests 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
Thermometer Tests
Look at the Data
Look at the Distribution of the Difference
Student s t -Test
The Matched Pairs Platform for a Paired t -Test
Optional Topic: An Equivalent Test for Stacked Data
Two Extremes of Neglecting the Pairing Situation: A Dramatization
A Nonparametric Approach
Introduction to Nonparametric Methods
Paired Means: The Wilcoxon Signed-Rank Test
Independent Means: The Wilcoxon Rank Sum Test
Exercises
9 Comparing Many Means: One-Way Analysis of Variance
Overview
What Is a One-Way Layout?
Comparing and Testing Means
Means Diamonds: A Graphical Description of Group Means
Statistical Tests to Compare Means
Means Comparisons for Balanced Data
Means Comparisons for Unbalanced Data
Adjusting for Multiple Comparisons
Are the Variances Equal across the Groups?
Testing Means with Unequal Variances
Nonparametric Methods
Review of Rank-Based Nonparametric Methods
The Three Rank Tests in JMP
Exercises
10 Fitting Curves through Points: Regression
Overview
Regression
Least Squares
Seeing Least Squares
Fitting a Line and Testing the Slope
Testing the Slope By Comparing Models
The Distribution of the Parameter Estimates
Confidence Intervals on the Estimates
Examine Residuals
Exclusion of Rows
Time to Clean Up
Polynomial Models
Look at the Residuals
Higher-Order Polynomials
Distribution of Residuals
Transformed Fits
Spline Fit
Are Graphics Important? <