## Book Description

A complete and thorough introduction to business statistics using JMP. While the book is designed for introductory business statistics courses at the undergraduate or MBA level, industry professionals wanting to brush up on their knowledge of statistics and those wanting an introduction to using JMP for statistical analysis will also find it useful.

1. Cover Page
3. Contents
4. Preface
5. Acknowledgments
6. Part 1 Basic Foundation
1. Chapter 1 Introduction to Statistics
1. Why Study Statistics?
2. The Traditional View of Statistics
3. The Modern View of Statistics
4. Important Concepts in Statistics
5. Collecting Data
6. Types of Data
7. Computers and Statistical Analysis: Introducing JMP
8. The Inland Northwest Credit Union
9. Summary
10. Chapter Glossary
11. Questions and Problems
12. References
13. Notes
2. Chapter 2 Introduction to JMP
1. JMP Software
2. The Situation at INCU
3. Creating Data Tables
4. Working with Data Tables
5. Reshaping Data Tables
6. Analysis Platforms
7. Working with Reports
8. Summary
9. Chapter Glossary
10. Questions and Problems
11. Notes
7. Part 2 Visualizing Data: Descriptive Statistics
1. Chapter 3 Visualizing Data in Tables and Graphs
1. The Situation at INCU
2. Statistical Tables
3. The Graph Command
4. Charts for Qualitative Data
5. Graphs for Quantitative Data
6. Looking at Relationships
7. Exploring Data Using Graph Builder
8. Summary
9. Chapter Glossary
10. Questions and Problems
11. References
12. Notes
2. Chapter 4 Summarizing Univariate Data: The Distribution Platform
1. The Situation at INCU
2. The Distribution Platform
3. Summarizing Quantitative Variables
4. Summary Measures for Qualitative Variables
5. Summarizing by a Qualitative Variable
6. Summary
7. Chapter Glossary
8. Questions and Problems
9. Notes
8. Part 3 Basic Foundation
1. Chapter 5 Foundations of Statistical Inference
1. The Situation at INCU
2. Populations and Samples
3. Sampling in Statistics
4. The Meaning of Probability
5. Probability Distributions
6. The Concept of a Sampling Distribution
7. Sampling Distributions for Common Sample Statistics
8. Summary
9. Chapter Glossary
10. Questions and Problems
11. References
12. Notes
2. Chapter 6 Introduction to Statistical Inference
1. The Situation at INCU
2. Introduction to Estimation
3. Introduction to Hypothesis Testing
4. JMP and Inferences about One Variable
6. Inferences about Variances and Standard Deviations
9. Summary
10. Chapter Glossary
11. Questions and Problems
12. References
13. Notes
9. Part 4 The Effects of One Variable on Another
1. Chapter 7 Effects of a Qualitative Variable on a Quantitative Variable
1. The Situation at INCU
2. Qualitative Variables and Grouping
3. Independent versus Dependent Groups
4. Qualitative Variables with Two Levels
5. Qualitative Variables with Three or More Levels
6. Summary
7. Chapter Glossary
8. Questions and Problems
9. References
10. Notes
2. Chapter 8 Effects of a Qualitative Variable on a Qualitative Variable
1. The Situation at INCU
2. The Fit Y by X Platform for Qualitative Variables
3. The Logic of Chi-Square Tests for Contingency Tables
4. Correspondence Analysis
5. Two by Two Contingency Tables
6. Summary
7. Chapter Glossary
8. Questions and Problems
9. References
10. Notes
3. Chapter 9 Effects of a Quantitative Variable on a Quantitative Variable
1. The Situation at INCU
2. Correlation Analysis
3. Regression Analysis
4. Summary
5. Chapter Glossary
6. Questions and Problems
7. Notes
4. Chapter 10 Effects of a Quantitative Variable on a Qualitative Variable
1. The Situation at INCU
2. Binomial Regression and the Logic of Logistic Regression
3. The Logistic Platform
4. Multinomial Regression
5. Summary
6. Chapter Glossary
7. Questions and Problems
8. Notes
10. Part 5 Relationships between Multiple Variables
1. Chapter 11 Introduction to Multivariate Statistics: Multiple Regression
1. The Situation at INCU
2. Introduction to Multivariate Analysis: The JMP Platforms
3. Correlation Analysis and the Multivariate Platform
4. Multiple Regression and the Fit Model Platform
5. Regression Diagnostics
6. Selecting Factors for Inclusion in the Model
7. Nominal Variables in Regression
8. Summary
9. Chapter Glossary
10. Questions and Problems
11. References
12. Notes
11. Index

## Product Information

• Title: Statistical Analysis for Business Using JMP(R): A Student's Guide
• Author(s):
• Release date: August 2011
• Publisher(s): SAS Institute
• ISBN: 9781607644767