### 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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