Statistics for Engineers and Scientists stands out for its crystal clear presentation of applied statistics. Suitable for a one or two semester course, the book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work.
1 Sampling and Descriptive Statistics2 Probability3 Propagation of Error4 Commonly Used Distributions5 Confidence Intervals6 Hypothesis Testing7 Correlation and Simple Linear Regression8 Multiple Regression9 Factorial Experiments10 Statistical Quality Control A Tables B Partial Derivatives C Suggestions for Further Reading Answers to Selected Exercises Index