Solutions Manual to Accompany Statistics and Probability with Applications for Engineers and Scientists

<p><b>A solutions manual to accompany <i>Statistics and Probability with Applications for Engineers and Scientists</i></b><br /> <br /> Unique among books of this kind, <i>Statistics and Probability with Applications for Engineers and Scientists</i> covers descriptive statistics first, then goes on to discuss the fundamentals of probability theory. Along with case studies, examples, and real-world data sets, the book incorporates clear instructions on how to use the statistical packages Minitab® and Microsoft® Office Excel® to analyze various data sets. The book also features:</p> <ul> <li>Detailed discussions on sampling distributions, statistical estimation of population parameters, hypothesis testing, reliability theory, statistical quality control including Phase I and Phase II control charts, and process capability indices</li> <li>A clear presentation of nonparametric methods and simple and multiple linear regression methods, as well as a brief discussion on logistic regression method</li> <li>Comprehensive guidance on the design of experiments, including randomized block designs, one- and two-way layout designs, Latin square designs, random effects and mixed effects models, factorial and fractional factorial designs, and response surface methodology</li> <li>A companion website containing data sets for Minitab and Microsoft Office Excel, as well as JMP ® routines and results</li> </ul> <p>Assuming no background in probability and statistics, <i>Statistics and Probability with Applications for Engineers and Scientists </i>features a unique, yet tried-and-true, approach that is ideal for all undergraduate students as well as statistical practitioners who analyze and illustrate real-world data in engineering and the natural sciences.</p>