Statistics for Engineers and Scientists – William Navidi – 3rd Edition


for and Scientists stands out for its crystal clear presentation of applied . Suitable for a one or two semester course, the takes a practical to of modeling and data that are most often used in scientific work.

Statistics for features a unique approach highlighted by an engaging style that explains difficult concepts clearly, along with the use of contemporary real world data sets to help motivate and show direct connections to industry and research. While focusing on practical applications of statistics, the text makes extensive use of examples to motivate fundamental concepts and to develop intuition.

Table of Content

Chapter 1: Sampling and Descriptive Statistics
Chapter 2: Probability
Chapter 3: Propagation of Error
Chapter 4: Commonly Used Distributions
Chapter 5: Confidence Intervals
Chapter 6: Hypothesis Testing
Chapter 7: Correlation and Simple Linear Regression
Chapter 8: Multiple Regression
Chapter 9: Factorial Experiments
Chapter 10: Statistical Quality Control
A Tables
B Partial Derivatives
C Suggestions for Further Reading
Answers to Selected Exercises