## Probability and Statistics for Engineering and the Sciences, Enhanced Review EditionThis market-leading text provides a comprehensive introduction to probability and statistics for engineering students in all specialties. This proven, accurate book and its excellent examples evidence Jay Devore’s reputation as an outstanding author and leader in the academic community. Devore emphasizes concepts, models, methodology, and applications as opposed to rigorous mathematical development and derivations. Through the use of lively and realistic examples, students go beyond simply learning about statistics-they actually put the methods to use. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version. |

### What people are saying - Write a review

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this book can teach you nothing. basically it's a workbook & assume that you know all the theory shit

User Review - Flag as inappropriate

This book is probably one of the worst books to learn statistics from. The author uses the same examples over and over again and simple things are written in overly complicated ways.

### Contents

Overview and Descriptive Statistics | 1 |

Probability | 46 |

Discrete Random Variables and Probability Distributions | 86 |

Continuous Random Variables and Probability Distributions | 130 |

Joint Probability Distributions and Random Samples | 184 |

Point Estimation | 227 |

Statistical Intervals Based on a Single Sample | 254 |

Tests of Hypotheses Based on a Single Sample | 284 |

Simple Linear Regression and Correlation | 446 |

Nonlinear and Multiple Regression | 500 |

GoodnessofFit Tests and Categorical Data Analysis | 568 |

DistributionFree Procedures | 599 |

Quality Control Methods | 625 |

Appendix Tables | 663 |

Answers to Selected OddNumbered Exercises | 691 |

710 | |

Inferences Based on Two Samples | 325 |

The Analysis of Variance | 369 |

Multifactor Analysis of Variance | 397 |

721 | |

Sample Exams | 725 |

### Common terms and phrases

2009 Cengage Learning accompanying data analysis ANOVA ANOVA table approximately binomial boxplot brand Calculate chi-squared chi-squared distribution coefficient components Compute confidence interval confidence level Copyright 2009 Cengage critical value curve density determined distribution with parameter effects equation error Example EXERCISES Section expected value experiment exponential exponential distribution factor Figure frequency function graph H0 is true Hint histogram independent level 05 mean value median method MINITAB normal distribution normal probability plot null hypothesis observations obtain outcomes P-value pairs percentile point estimate Poisson Poisson distribution population distribution prediction predictors probability distribution proportion random sample random variable randomly selected reject H0 rejection region residuals resulting Rights Reserved sample mean significance level simple linear regression specified standard normal strength sums of squares Suppose temperature test H0 test statistic tion true average upper-tailed variance versus Weibull distribution yield