ISE Principles of Statistics for Engineers and Scientists

1 Summarizing Univariate Data

2 Summarizing Bivariate Data

3 Probability

4 Commonly Used Distributions

5 Point and Interval Estimation for a Single Sample

6 Hypothesis Tests for a Single Sample

7 Inferences for Two Samples

8 Inference in Linear Models

9 Factorial Experiments

10 Statistical Quality Control

Available for the first time in McGraw-Hill's Connect! Principles of Statistics for Engineers and Scientists emphasizes statistical methods and how they can be applied to problems in science and engineering. The book contains many examples that feature real, contemporary data sets, both to motivate students and to show connections to industry and scientific research. Because statistical analyses are done on computers, the book contains exercises and examples that involve interpreting, as well as generating, computer output. This book may be used effectively with any software package.