Contents
Preface
Acknowledgments
Part 1 Basic Foundation
Chapter 1 Introduction to Statistics
Why Study Statistics?
The Traditional View of Statistics
The Modern View of Statistics
A Process View of Organizations
Changes in Statistical Pedagogy
Changes in Information Technology
How Is This Modern View of Statistics Different?
Important Concepts in Statistics
Populations and Samples
Parameters and Statistics
Descriptive and Inferential Statistics
Sampling and Nonsampling Error
Statistical Inference and the Discovery Process
Collecting Data
Collecting Primary Data
Surveys and Observation
Experiments and Post-Hoc Studies
A Classification of Data-Gathering Situations
Types of Data
Quantitative versus Qualitative Variables
Discrete and Continuous Variables
Scales of Measurement
Computers and Statistical Analysis: Introducing JMP
The Inland Northwest Credit Union
Summary
Chapter Glossary
Questions and Problems
References
Notes
Chapter 2 Introduction to JMP
JMP Software
The JMP Starter
The Situation at INCU
Creating Data Tables
Adding Columns
Entering Data into the Data Table
Data Types and Modeling Types
Working with Data Tables
Combining Data Tables
Using Value Labels
Reshaping Data Tables
Sorting Data Tables
Filtering Data and Creating Subsets of Data Tables
Analysis Platforms
The Distribution Platform
Fit Y by X Platform
Matched Pairs Platform
Fit Model Platform
Working with Reports
Formatting Report Tables
Copying and Printing Reports
Performing Further Analysis
Summary
Chapter Glossary
Questions and Problems
Notes
Part 2 Visualizing Data: Descriptive Statistics
Chapter 3 Visualizing Data in Tables and Graphs
The Situation at INCU
Statistical Tables
Summary Tables
Tabulate Command
The Graph Command
Charts for Qualitative Data
Bar Charts
Pie Charts
Tree Maps
Graphs for Quantitative Data
Histograms
Stem-and-Leaf Diagrams
Line Charts
Looking at Relationships
Scatter Plots
Bubble Plots
Contingency Tables
Mosaic Plots
Exploring Data Using Graph Builder
Summary
Chapter Glossary
Questions and Problems
References
Notes
Chapter 4 Summarizing Univariate Data: The Distribution Platform
The Situation at INCU
The Distribution Platform
Summarizing Quantitative Variables
Graphic Analysis Panel
Quantiles Panel
Moments Panel
Additional Moments
Summary Measures for Qualitative Variables
Frequencies Panel
Summarizing by a Qualitative Variable
Summary
Chapter Glossary
Questions and Problems
Notes
Part 3 Going Beyond the Data—Inferential Statistics
Chapter 5 Foundations of Statistical Inference
The Situation at INCU
Populations and Samples
Population Parameters and Sample Statistics
Sampling in Statistics
Simple Random Samples
Sampling and Inferential Statistics
The Meaning of Probability
Probability Distributions
Discrete Probability Distributions
Continuous Probability Distributions
The Concept of a Sampling Distribution
Sampling Distributions as a Population of Values
Sampling Distributions as a Probability Distribution
Sampling Distributions for Common Sample Statistics
Sampling Distributions for the Mean
Sampling Distributions for the Standard Deviation and Variance
Sampling Distributions for the Proportion
Sampling Distributions for the Median
The Concept of Bootstrapping
Summary
Chapter Glossary
Questions and Problems
References
Notes
Chapter 6 Introduction to Statistical Inference
The Situation at INCU
Introduction to Estimation
The Concept of Sampling Error
Interval Estimation
Finding the Right Sample Size
Introduction to Hypothesis Testing
p-Values
Tests of Equivalence
JMP and Inferences about One Variable
Inferences about Means
Inferences about Variances and Standard Deviations
Inferences about Medians
Sign Test for Medians
Bootstrapping Inference about the Median
Inferences about Proportions
Finding the Right Sample Size for Proportions
Summary
Chapter Glossary
Questions and Problems
References
Notes
Part 4 The Effects of One Variable on Another
Chapter 7 Effects of a Qualitative Variable on a Quantitative Variable
The Situation at INCU
Qualitative Variables and Grouping
Independent and Dependent Variables (Factor and Response)
Independent versus Dependent Groups
Qualitative Variables with Two Levels
Independent Groups
Dependent Groups
Qualitative Variables with Three or More Levels
Tests for Three or More Means
Tests for Three of More Variances
Tests for Three or More Medians
Summary
Chapter Glossary
Questions and Problems
References
Notes
Chapter 8 Effects of a Qualitative Variable on a Qualitative Variable
The Situation at INCU
The Fit Y by X Platform for Qualitative Variables
The Logic of Chi-Square Tests for Contingency Tables
Correspondence Analysis
Two by Two Contingency Tables
Contingency Tables and the Classic Z Test
Risk Difference
Summary
Chapter Glossary
Questions and Problems
References
Notes
Chapter 9 Effects of a Quantitative Variable on a Quantitative Variable
The Situation at INCU
Correlation Analysis
The Bivariate Platform and the Density Ellipse
Correlation Coefficient
Regression Analysis
Assumptions of Linear Regression
Regression Analysis in the Bivariate Platform
Summary
Chapter Glossary
Questions and Problems
Notes
Chapter 10 Effects of a Quantitative Variable on a Qualitative Variable
The Situation at INCU
Binomial Regression and the Logic of Logistic Regression
The Logistic Platform
Logistic Regression
Inverse Prediction
Multinomial Regression
A Multinomial Example
Multinomial Logistic Regression and ANOVA
Summary
Chapter Glossary
Questions and Problems
Notes
Part 5 Relationships between Multiple Variables
Chapter 11 Introduction to Multivariate Statistics: Multiple Regression
The Situation at INCU
Introduction to Multivariate Analysis: The JMP Platforms
Correlation Analysis and the Multivariate Platform
Multivariate Options
Multiple Regression and the Fit Model Platform
The Fit Model Platform
Multiple Regression Results
Regression Diagnostics
Analysis of Residuals
Influence: Leverage and Outliers
Multicollinearity in Regression
Selecting Factors for Inclusion in the Model
Stepwise Regression
Nominal Variables in Regression
Dummy Coding
Summary
Chapter Glossary
Questions and Problems
References
Notes