Practical Data Analysis with JMP® > Two-Sample Inference for a Continuous Variable

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Practical Data Analysis with JMP®

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Preface

Ch. 1. Getting Started: Introduction to JMP

Ch. 2. Understanding Data

Ch. 3. Describing a Single Variable

Ch. 4. Describing Two Variables at a Time

Ch. 5. Elementary Probability and Discrete Distributions

Ch. 6. The Normal Model

Ch. 7. Sampling and Sampling Distributions

Ch. 8. Inference for a Single Categorical Variable

Ch. 9. Inference for a Single Continuous Variable

Ch. 10. Two-Sample Inference for a Continuous Variable

Conditions for Inference

Using JMP to Compare Two Means

Using JMP to Compare Two Variances

Application

Ch. 11. Chi-Square Tests

Ch. 12. Analysis of Variance

Ch. 13. Simple Linear Regression

Ch. 14. Regression Conditions and Estimation

Ch. 15. Multiple Regression

Ch. 16. Categorical and Non-Linear Regression Models

Ch. 17. Basic Forecasting Techniques

Ch. 18. Elements of Experimental Design

Ch. 19. Quality Improvement

Appx. A. Data Sources

Bibliography

Index

Chapter 10. Two-Sample Inference for a Continuous Variable

Conditions for Inference 171
Using JMP to Compare Two Means 172
Assuming Normal Distributions or CLT 172
Using Sampling Weights 176
Equal vs. Unequal Variances 176
Dealing with Non-Normal Distributions 177
Using JMP to Compare Two Variances 179
Application 181

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