Miller and Freund's Probability and Statistics for Engineering
Miller & Freund's Probability and Statistics for Engineers is rich in exercises and examples, and explores both elementary probability and basic statistics, with an emphasis on engineering and science applications. Much of the data has been collected from the author's own consulting experience and from discussions with scientists and engineers about the use of statistics in their fields. In later chapters, the text emphasizes designed experiments, especially twolevel factorial design. The Ninth Edition includes several new datasets and examples showing application of statistics in scientific investigations, familiarizing students with the latest methods, and readying them to become realworld engineers and scientists.
Table of Content
"Preface
1 Introduction
2 Organization and Description of Data
3 Probability
4 Probability Distributions
5 Probability Densities
6 Sampling Distributions
7 Inferences Concerning a Mean
8 Comparing Two Treatments
9 Inferences Concerning Variances
10 Inferences Concerning Proportions
11 Regression Analysis
12 Analysis of Variance
13 Factorial Experimentation
14 Nonparametric Tests
15 The Statistical Content of QualityImprovement Programs
16 Application to Reliability and Life Testing
Appendix A Bibliography
Appendix B Statistical Tables
Appendix C Using the R Software Program
Appendix D Answers to OddNumbered Exercises
Index"

Salient Features
• Many new examples on important current engineering and scientific data further strengthen the text's orientation towards an applicationsbased introduction to statistics.
• Added graphs illustrating Pvalues appear in several examples along with an interpretation.
• More details about using R commands make it easy for students to check calculations on their own laptop or tablet, while reading an example.
• Key formulas are stressed and calculation formulas are downplayed. Computation formulas are set in the context of an application which only requires all, or mostly all, integer arithmetic, and now appear only at the end of sections. Students can then check their results with their choice of software.
• All examples are now numbered within each chapter.
• New databased exercises feature real applications to help stimulate interest and strengthen a student's appreciation of the role of statistics in engineering applications.
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