Jmp Start Statistics

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ISBN: 9780534265656 | 0534265650
Cover: Paperback
Copyright: 2/1/1996

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This complete data-analysis program combines outstanding graphics and amazing data analytics. JMP-IN's spreadsheets, data tables, and graphing capabilities are designed to help the student learn important statistics concepts while it handles all calculations.

Preface

xiii

Preliminaries

xvii

Part I JMPing IN WITH BOTH FEET

Jump Right in

(16)

First Session

(4)

Open a JMP Data Table

(1)

Launch an Analysis Platform

(1)

Interact with the Surface of the Platform

(2)

Modeling Type

(1)

Analyze and Graph

(5)

The Analyze Menu

(1)

The Graph Menu

(1)

Navigating the Platforms, Building the Context

(2)

The Personality of JMP

(1)

Getting Help: The JMP Help System

(4)

Help from the About JMP Screen

(1)

Help From the JMP Statistical Guide

(1)

Help from Buttons in Dialogs

(1)

Help from a Platform Window

(1)

Help by Clicking an Item

(1)

Additional Help Commands under Windows

(1)

JMP Data Tables

(24)

The Ins and Outs of a JMP Data Table

(9)

Selecting and Deselecting Rows and Columns

(1)

Mousing Around a Spreadsheet: Cursor Forms

(1)

Creating a New JMP Table

(5)

Importing Data

(1)

Cut, Copy, and Paste Spreadsheet Data

(1)

Moving Data and Results Out of JMP

(4)

The Save As Command

(1)

Cut, Copy, and Paste Graphs and Reports

(1)

Journal Data and Results

(2)

Print Data, Reports, and Journals

(1)

Juggling Data Tables

(3)

Correct a Sort Problem: Subset, Sort, and Join

(2)

Give Your Table a New Shape: Stack Columns

(1)

The Group/Summary Command

(6)

Create a Table of Summary Statistics

(1)

Analyze Subsets of Data

(2)

Plot and Chart Summary Data

(2)

Calculator Adventures

(30)

The Calculator Window

(1)

A Quick Example

(2)

Calculator Pieces and Parts

(5)

Terminology

(1)

The Calculator Work Panel

(2)

The Formula Display

(1)

Function Browser Definitions

(2)

Terms Functions

(2)

Using a Subscript

(1)

Conditional Expressions and Comparison Operators

(2)

Using the If, Otherwise Condition Function

(2)

Summarize Down a Column or Summarize Across Rows

(5)

The Nuts and Bolts of the Quantile Function

(1)

A Quantile Function Challenge Problem

(1)

Using the Summation Function

(2)

The of Function Computes Statistics Across Rows

(1)

Random Number Functions

(3)

The Uniform Distribution

(2)

The Normal Distribution

(1)

The Shuffle Function

(1)

Parameters

(1)

Tips on Building Formulas

(5)

Constant Expressions

(1)

Focused Work Areas

(1)

Cutting and Pasting Formulas

(1)

Selecting Expressions

(1)

Dragging Expressions

(1)

Changing a Formula

(1)

Caution and Error Messages

(2)

Part II STATISTICAL SLEUTHING

What are Statistics?

(14)

Ponderings

(4)

The Business of Statistics

(1)

Two Sides of Statistics

(1)

The Faces of Statistics

(1)

Don't Panic

(1)

Preparations

(4)

Three Levels of Uncertainty

(1)

Probability and Randomness

(1)

Assumptions

(1)

Data-Mining?

(1)

Statistical Terms

(5)

Univariate Distribution: One Variable, One Sample

(30)

Looking at Distributions

(2)

Review: Probability Distributions

(2)

True Distribution Function versus Real-World Sample Distribution

(1)

The Normal Distribution

(1)

Describing Distributions of Values

(11)

Generating Random Data

(1)

Histograms

(1)

Outlier and Quantile Box Plots

(1)

Normal Quantile Plots

(3)

Stem-and-Leaf Plots

(1)

Mean and Standard Deviation

(1)

Median and Standard Deviation

(1)

Mean versus Median

100

(1)

Higher Moments: Skewness and Kurtosis

101

(1)

Extremes, Tail Detail

101

(1)

Statistical Inference on the Mean

102

(10)

Standard Error of the Mean

102

(1)

Confidence Intervals for the Mean

102

(2)

Testing Hypotheses: Terminology

104

(1)

The Normal Z Test for the Mean

105

(3)

Student's t Test

108

(1)

Curiosity: A Significant Difference?

109

(3)

Special Topic: Testing for Normality

112

(1)

Special Topic: Simulating the Central Limit Theorem

113

(2)

Differences Between Two Means

115

(34)

Two Independent Groups

117

(16)

When the Difference Isn't Significant

117

(4)

Inside the Student's t Test:

121

(1)

Analysis of Variance and the All-Purpose F Test

122

(3)

How Sensitive is the Test? How Many More Observations Needed?

125

(2)

When the Difference Is Significant

127

(1)

Special Topic: Are the Variances Equal Across the Groups?

128

(4)

Special Topic: Normality and Normal Quantile Plots

132

(1)

Testing Means for Matched Pairs

133

(10)

Thermometer Tests

133

(3)

An Alternative Approach for the Paired t Test

136

(2)

An Equivalent Test For Stacked Data

138

(1)

Special Topic: Examining the Normality Assumption

139

(1)

Two Extremes of Neglecting the Pairing Situation: A Dramatization

140

(3)

Review

143

(1)

Mouse Mystery

144

(1)

A Nonparametric Approach

144

(5)

Introduction to Nonparametric Methods

144

(1)

Paired Means: The Wilcoxon Signed-Rank Test

145

(1)

Independent Means: The Wilcoxon Rank Sum Test

146

(3)

Comparing Many Means: One-Way Analysis of Variance

149

(22)

What Is a One-Way Layout?

151

(1)

Comparing and Testing Means

152

(9)

Means Diamonds: A Graphical Description of Group Means

154

(1)

Statistical Tests to Compare Means

154

(3)

Means Comparisons for Balanced Data

157

(1)

Special Topic: Means Comparisons for Unbalanced Data

157

(4)

Special Topic: Adjusting for Multiple Comparisons

161

(1)

Special Topic: Power

162

(4)

Special Topic: Unequal Variances

166

(2)

Special Topic: Nonparametric Methods

168

(3)

Review of Rank-Based Nonparametric Methods

168

(1)

The Three Rank Tests in JMP

169

(2)

Fitting Curves Through Points: Regression

171

(24)

Regression

173

(12)

Least Squares

173

(1)

Fitting the Line and Testing the Slope

174

(6)

Examine Residuals

180

(1)

Polynomial Models

181

(2)

Transformed Fits

183

(1)

Spline Fit

184

(1)

Why Graphics Are Important

185

(2)

Why It's Called Regression:

187

(4)

Curiosities

191

(4)

Sometimes It's the Picture That Fools You

191

(1)

High Order Polynomial Pitfall

191

(1)

The Pappus Mystery on the Obliquity of the Ecliptic

192

(3)

Categorical Distributions

195

(18)

Categorical Situations

197

(1)

Categorical Responses and Count Data: Two Outlooks

197

(3)

A Simulated Categorical Response

200

(5)

Simulating Some Categorical Response Data

200

(1)

Variability in the Estimates

201

(2)

Larger Sample Sizes

203

(1)

Monte Carlo Simulations for the Estimators

203

(1)

Distribution of the Estimates

204

(1)

The X2 Pearson Chi-Square Test Statistic

205

(1)

The G2 Likelihood Ratio Chi-Square Test Statistic

206

(3)

Likelihood Ratio Tests

207

(1)

The G2 Likelihood Ratio Chi-Square Test

208

(1)

Univariate Categorical Chi-Square Tests

209

(4)

Comparing Univariate Distributions

209

(2)

Charting to Compare Results

211

(2)

Categorical Models

213

(26)

Fitting Categorical Responses to Categorical Factors:

215

(7)

Looking at Survey Data

216

(4)

If You Have a Perfect Fit

220

(2)

Correspondence Analysis: Looking at Data with Many Levels

222

(2)

Continuous Factors for Categorical Responses: Logistic Regression

224

(4)

Fitting a Logistic Model

224

(3)

Degrees of Fit

227

(1)

Special Topics

228

(6)

A Discriminant Alternative

228

(1)

Inverse Prediction

229

(2)

Polytomous: More Than 2 Response Levels

231

(1)

Ordinal Responses: Cumulative Ordinal Logistic Regression

232

(2)

Surprise: Simpson's Paradox: Aggregate Data versus Grouped Data

234

(5)

Multiple Regression

239

(24)

Parts of a Regression Model

241

(1)

A Multiple Regression Example

242

(7)

Residuals and Predicted Values

244

(1)

The Analysis of Variance Table

245

(1)

The Whole Model F Test

246

(1)

Whole Model Leverage Plot

246

(1)

Details on Effect Tests

247

(1)

Effect Leverage Plots

248

(1)

Special Topic: Collinearity

249

(7)

Exact Collinearity, Singularity, Linear Dependency

252

(2)

The Longley Data: An Example of Collinearity

254

(2)

Special Topic: The Case of the Hidden Leverage Point

256

(2)

Special Topic: Mining Data with Stepwise Regression

258

(5)

Fitting Linear Models

263

(36)

The General Linear Model

265

(18)

Kinds of Effects in Linear Models

266

(1)

Coding Scheme to Fit a One-Way Anova as a Linear Model

267

(5)

Analysis of Covariance: Putting Continuous and Classification Terms in the Same Model

272

(11)

Two-way Analysis of Variance and Interactions

283

(5)

With Interaction

285

(3)

Optional Topic: Random Effects and Nested Effects

288

(11)

Nesting

289

(2)

Repeated Measures

291

(8)

Bivariate and Multivariate Relationships

299

(20)

Bivariate Distributions

301

(5)

Density Estimation

301

(1)

Bivariate Density Estimation

302

(1)

Mixtures, Modes, and Clusters

303

(1)

The Elliptical Contours of the Normal Distribution

304

(2)

Correlations and the Bivariate Normal

306

(5)

Simulation Exercise

306

(2)

Correlations Across Many Variables

308

(1)

Bivariate Outliers

309

(2)

Three and More Dimensions

311

(8)

Principal Components

312

(1)

Principal Components for Six Variables

313

(2)

Correlation Patterns in Biplots

315

(1)

Outliers in Six Dimensions

315

(2)

Strategies for High-Dimensional Exploration

317

(2)

Design of Experiments

319

(34)

Introduction

321

(1)

Generating an Experimental Design in JMP

322

(1)

Two-Level Screening Designs

322

(2)

Screening for Main Effects: The Flour Paste Experiment

324

(12)

Name the Factors

325

(1)

Select the Design and Generate the Table

325

(5)

Run a Screening Model

330

(6)

Screening for Interactions

336

(5)

Response Surface Designs

341

(12)

The Response Surface Design Dialog

341

(12)

Statistical Quality Control

353

(22)

Control Charts and Shewhart Charts

355

(1)

Variables Charts

356

(1)

Attributes Charts

356

(1)

The Control Chart Dialog

356

(12)

Process Information Panel

357

(1)

Chart Type Information Panel

358

(1)

Limits Specification Panel

359

(1)

Tests Selection Panel

359

(1)

Types of Control Charts for Variables

360

(2)

Types of Control Charts for Attributes

362

(1)

Moving Average Charts

363

(3)

Tailoring the Horizontal Axis

366

(1)

Tests for Special Causes

366

(2)

Pareto Charts

368

(7)

A Simple Pareto Chart

369

(1)

Before-and-After Pareto Chart

370

(2)

Two-Way Comparative Pareto Chart

372

(3)

Time Series

375

(22)

Introduction

376

(1)

Graphing and Fitting by Time

377

(8)

Creating Time Columns

377

(1)

Graphing by Time

378

(1)

Trend and Seasonal Factors

379

(6)

Lagging and Autocorrelation

385

(4)

Creating Columns with Lagged Values

385

(1)

Autocorrelation

386

(1)

Optional Topic: Correlograms

387

(2)

Autoregressive Models

389

(2)

Special Topic: Fitting an AR Model in the Nonlinear Platform

391

(2)

Special Topic: Moving Average and ARMA Models

393

(1)

Special Topic: Simulating Time Series Processes

394

(1)

Autoregressive Errors in Regression Models

395

(2)

Machines of Fit

397

(14)

Machines of Fit

398

(1)

Springs for Continuous Responses

398

(7)

Fitting a Mean

399

(1)

Testing a Hypothesis

399

(1)

One-Way Layout

400

(1)

Sample Size's Effect on Significance

400

(1)

Error Variance's Effect on Significance

401

(1)

Experimental Design's Effect on Significance

402

(1)

Simple Regression

403

(1)

Leverage

404

(1)

Multiple Regression

404

(1)

Summary: Significance and Power

404

(1)

Machine of Fit for Categorical Responses

405

(6)

How Do Pressure Cylinders Behave?

405

(1)

Estimating Probabilities

406

(1)

One-Way Layout for Categorical Data

407

(2)

Logistic Regression

409

(2)

Part III REFERENCE DOCUMENTATION

Appendix A The JMP Main Menu

411

(30)

Appendix B Analyze and Graph Platform Commands and Options

441

(36)

Appendix C Calculator Functions

477

(20)

Appendix D What's In JMP That's Not In JMP IN

497

(4)

References

501

(4)

Index

505

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Jmp Start Statistics

Summary

Table of Contents

Supplemental Materials

FREE SHIPPING

Rent More, Save More! Use code: BBRENTAL

5% off 1 book, 7% off 2 books, 10% off 3+ books

Jmp Start Statistics

Summary

Table of Contents

Supplemental Materials

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