Bhisham C. Gupta & Irwin Guttman 
Solutions Manual to Accompany Statistics and Probability with Applications for Engineers and Scientists 

A solutions manual to accompany Statistics and
Probability with Applications for Engineers
and Scientists

Unique among books of this kind, Statistics and Probability
with Applications for Engineers and Scientists 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:

* 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

* A clear presentation of nonparametric methods and simple and
multiple linear regression methods, as well as a brief discussion
on logistic regression method

* 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

* A companion website containing data sets for Minitab and
Microsoft Office Excel, as well as JMP ® routines and
results

Assuming no background in probability and
statistics, Statistics and Probability with Applications
for Engineers and Scientists 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.

About the author

Bhisham C. Gupta, Ph D, is Professor and Chair in the Department of Mathematics and Statistics at the University of Southern Maine. Dr. Gupta has writen four books and over thirty peer-reviewed publications. His research interests include design of experiments, statistical quality control, and sampling theory.

Irwin Guttman, Ph D, is retired Professor of Statistics in the Department of Mathematics at the State University of New York at Buffalo. A Fellow of the American Statistical Association, the Institute of Mathematical Statistics, the International Statistical Institute, and the Royal Statistical Society, he received his Ph D in Statistics from the University of Toronto.