Skip to main content

Applications of Hypothesis Testing for Environmental Science

  • 1st Edition - December 1, 2020
  • Latest edition
  • Author: Abbas F.M. Alkarkhi
  • Language: English

Applications of Hypothesis Testing for Environmental Science presents the theory and application of hypothesis testing in environmental science, allowing researchers to carry out… Read more

World Book Day celebration

Where learning shapes lives

Up to 25% off trusted resources that support research, study, and discovery.

Description

Applications of Hypothesis Testing for Environmental Science presents the theory and application of hypothesis testing in environmental science, allowing researchers to carry out suitable tests for decision-making on a variety of issues. This book works as a step-by-step resource to provide understanding of the concepts and applications of hypothesis testing in the field of environmental science. The tests are presented in simplified form without relying on complex mathematical proofs to allow researchers to easily locate the most appropriate test and apply it to real-world situations. Each example is accompanied by a case study showing the application of the method to realistic data.

This book provides step-by-step guidance in analyzing and testing various environmental data for researchers, postgraduates and graduates of environmental sciences, as well as academics looking for a book that includes case studies of the applications of hypothesis testing. It will also be a valuable resource for researchers in other related fields and those who are not familiar with the use of statistics who may need to analyze data or perform hypothesis tests in their research.

Key features

  • Includes step-by-step tutorials to aid in the understanding of procedures and allowing implementation of suitable tests
  • Presents the theory of hypothesis testing in a simple yet thorough manner without complex mathematical proofs
  • Describes how to implement hypothesis testing in analyzing and interpretation environmental science data

Readership

Researchers, postgraduates and academics in environmental science. Undergraduates in environmental science, researchers and academics in any field of life science such as aquatic science and related fields such as biology and biomedical sciences

Table of contents

1. Introduction to Statistical Hypothesis Testing2. Z-test for one sample mean3. t-test for one sample mean4. Z-test for one sample proportion5. Chi-square test for one sample variance6. The Observed Significance Level (P-Value) Procedure7. Interval Estimation for One Population8. The Interval Estimation Procedure: Hypothesis Testing for One Population9. Hypothesis Testing for the Difference Between Two Populations10. Interval Estimation for the Difference Between Two Populations11. The Interval Estimation Procedure: Hypothesis Testing for the Difference

Product details

  • Edition: 1
  • Latest edition
  • Published: December 4, 2020
  • Language: English

About the author

AA

Abbas F.M. Alkarkhi

Abbas F. M. Alkarkhi received his Ph.D. in applied statistics from the University of Science, Malaysia (2002). He received his BSc and MSc in statistics from University of Baghdad in 1985 and 1992 respectively. Dr. Alkarkhi spent 14 years as a faculty member in the School of Industrial Technology at University of Science Malaysia (2002-2016), then moved to Kuala Lumpur University (2016-current). Before joining a Ph.D. study, he worked in Iraq for two years and in Libya for five years as a lecturer. He has published more than 90 papers in international journals and more than 40 in conferences, and is the author of three books.
Affiliations and expertise
Universiti Kuala Lumpur (Unikl), Malaysia

View book on ScienceDirect

Read Applications of Hypothesis Testing for Environmental Science on ScienceDirect