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Experiment Design for Environmental Engineering
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Experiment Design for Environmental Engineering : Methods and Examples

Book Details

Format Hardback or Cased Book
ISBN-10 103201704X
ISBN-13 9781032017044
Publisher Taylor & Francis Ltd
Imprint CRC Press
Country of Manufacture US
Country of Publication GB
Publication Date Feb 7th, 2022
Print length 350 Pages
Weight 635 grams
Ksh 23,400.00
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Provides a wide range of practical environmental engineering laboratory experiments for implementation by students in a university lab or by practicing professionals in the field. Explains how to design an experiment that will provide meaningful and useful data, how to interpret the data generated from an experiment, and how to present those data.

Experiment Design for Environmental Engineering provides a wide range of practical environmental engineering laboratory experiments for implementation by students in a university laboratory or by practicing professionals in the field, along with an extensive discussion on how to design an experiment that will provide meaningful and useful data, how to interpret the data generated from an experiment, and how to present those data to an audience of other students or professionals. The example experiments provide a way to evaluate a new design against an existing experiment to determine what information is most appropriate in each section and how to format the data for the most effective outcome.

Features

  • Fills in the gap in ABET requirements to teach students how to design experiments and includes key elements for a successful design
  • Covers experiments for a wide range of environmental engineering topics
  • Provides standardized approach that includes a basic background to the concepts and step-by-step procedure for conducting the experiment
  • Explains designs that are suitable for college laboratory and professional applications
  • Shows how to organize experimental data as it is collected to optimize usefulness
  • Provides templates for design of the experiment and for presenting the resulting data to technical and nontechnical audiences or clients

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