Description
PEARSON INDIA Miller And Freund'S Probability And Statistics For Engineering, 9/E by Richard A. Johnson
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 two-level 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 real-world 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 Quality-Improvement 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 Odd-Numbered Exercises Index"
Salient Features
• Many new examples on important current engineering and scientific data further strengthen the text's orientation towards an applications-based introduction to statistics. • Added graphs illustrating P-values 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 data-based exercises feature real applications to help stimulate interest and strengthen a student's appreciation of the role of statistics in engineering applications. "