### Books Name: Probability and Statistics for Engineering and the Sciences

Author: Jay L. Devore

ISBN-10: 1305251806

ISBN-13: 978-1305251809

No. of Pages: 792

### Why Should You Have a Copy of Probability and Statistics for Engineering and the Sciences – 9e?

Jay L. Devore is one of the famous statisticians of all time. He has written many books on probability and statistics and today we are going to discuss one of the most popular books of Jay L. Devore.

Till date, the most popular book written by Jay. L. Devore is Probability and Statistics for Engineering and the Sciences. From time to time this popular book on probability and statistics has been updated and it is the 9th edition of Probability and Statistics for Engineering and Sciences we are going to discuss.

For the years this awesome book has been read as the textbook for many of statistical and engineering schools of the USA.

Probability and statistics are a major for the engineering students and for the science backgrounded students. Probability and Statistics for Engineering and the Sciences by Jay L. Devore fulfills the demand of both the engineering and statistical major students as a fine reference book.

### Get Probability and Statistics for Engineering and the Sciences -9th Edition By ay L. Devore

The book is the best compared to the other author’s book on probability and statistics as this book features-

**Who doesn’t Like Real Life Problems to be solved off?**

Probability and Statistics for Engineering and the Sciences by Jay L. Devore features a lot of worked out examples on which the author used real life examples of engineering and science.In many cases, the author also used real life data based on his experiences. So while you will be practicing the examples you will feel the magic of statistics in real life. This would help you to recognize the problem easily and as well as solve it quickly.

**Major formulas and info’s are highlighted/ Easy Referencing**

The author is very conscious about major statistical formulas and therefore he highlighted the formulas into a separate box in bold letters. This approach will help you to locate the major equations/formulas easily. Moreover, you need not go for referencing index/appendix in most of the cases the important tables presented first. Fantastic, isn’t it?

**Easy and Understandable Explanation**

Probability and Statistics for Engineering and the Sciences has been well prepared for the students of engineering disciplines and for the statistical major students. The texts are clear and have a good explanation. All of us know that explanation is very much necessary while you are reading probability and statistics. The explanations are so made that a student of lower capability can also capture the basis of probability and statistics which will help him to get good marks in the probability and statistics exam.

**Calculus Based Text**

Probability and Statistics for Engineering and the Sciences-9th edition is based purely on calculus. This will also help you to know more about calculus operations.

**Software Based Info Based**

This book features several graphics, screenshot and outputs of various statistical software used all over the world to let you introduce the modern techniques of data presentation and getting outputs.

## Contents of Probability and Statistics for Engineering and the Sciences

This book mainly comprises the following chapters:

Chapter 1: Overview and Descriptive Statistics

Chapter 2: Probability

Chapter 3: Discrete Random Variables and Probability Distributions

Chapter 4: Continuous Random Variables and Probability Distributions

Chapter 5: Joint Probability Distributions and Random Samples

Chapter 6: Point Estimation

Chapter 7: Statistical Intervals Based on a Single Sample

Chapter 8: Tests of Hypothesis Based on a Single Sample

Chapter 9: Inferences Based on Two Samples

Chapter 10: The Analysis of Variance

Chapter 11: Multifactor Analysis of Variance

Chapter 12: Simple Linear Regression and Correlation

Chapter 13: Nonlinear and Multiple Regression

Chapter 14: Goodness-of-Fit Tests and Categorical Data Analysis

Chapter 15: Distribution Free Procedures

Chapter 16: Quality Control Methods

Know more on Engineering Statistics

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### You Can Also try The Following Books on Probability and Statistics

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