The Road to Love Canal: Managing Industrial Waste before EPA
Author: Craig E Colten
The toxic legacy of Love Canal vividly brought the crisis in industrial waste disposal to public awareness across the United States and led to the passage of the Superfund legislation in 1980. To discover why disasters like Love Canal have occurred and whether they could have been averted with knowledge available to waste managers of the time, this book examines industrial waste disposal before the formation of the Environmental Protection Agency in 1970.
Colten and Skinner build their study around three key questions. First, what was known before 1970 about the hazards of certain industrial wastes and their potential for causing public health problems? Second, what were the technical capabilities for treating or containing wastes during that time? And third, what factors other than technical knowledge guided the actions of waste managers before the enactment of explicit federal laws?
The authors find that significant information about the hazards of industrial wastes existed before 1970. Their explanations of why this knowledge did not prevent the toxic legacy now facing us will be essential reading for environmental historians and lawyers, public health personnel, and concerned citizens.
Look this: Basic Business Statistics or The Practical Intrusion Detection Handbook
Data, Statistics, and Decision Models with Excel
Author: Donald L Harnett
This text takes an integrated approach, and places emphasis on modeling and the application of pure methods rather than statistical techniques. This emphasis allows readers to learn how to solve business problems, not mathematical equations, and prepares them for their role as decision makers. All models and analyses in the book use Excel so readers make decisions without having to complete difficult calculations. The book is also accompanied by KaddStat, an easy-to-use add-in to Excel, which makes it easier to run complex statistical tests on Excel.
Table of Contents:
| Preface | ||
| Ch. 1 | Introduction to Quantitative Decision Making | 1 |
| Ch. 2 | Discrete Probability and Decision Analysis | 41 |
| Ch. 3 | Decision Making With Binomial and Normal Probabilities | 104 |
| Ch. 4 | Decisions Based on Sample Statistics | 146 |
| Ch. 5 | Sample Design and Estimation | 174 |
| Ch. 6 | Decisions Based on Linear Relationships | 215 |
| Ch. 7 | Hypothesis Testing | 266 |
| Ch. 8 | Quality Control | 316 |
| Ch. 9 | Forecasting | 356 |
| Ch. 10 | Analysis of Variance | 418 |
| Ch. 11 | Simulation | 457 |
| Ch. 12 | Linear Programming | 495 |
| App. A | Algebra Review | 531 |
| App. B | Selected Excel Commands | 571 |
| Data Disk Files | 588 | |
| Selected References | 589 | |
| Answers to Even-Numbered Problems | 590 | |
| Index | 603 |
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