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.
- 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
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1. Introduction to Statistical Hypothesis Testing 2. Z-test for one sample mean 3. t-test for one sample mean 4. Z-test for one sample proportion 5. Chi-square test for one sample variance 6. The Observed Significance Level (P-Value) Procedure 7. Interval Estimation for One Population 8. The Interval Estimation Procedure: Hypothesis Testing for One Population 9. Hypothesis Testing for the Difference Between Two Populations 10. Interval Estimation for the Difference Between Two Populations 11. The Interval Estimation Procedure: Hypothesis Testing for the Difference
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.