Applied Statistical Techniques by Ekwal Imam is an essential reference book designed specifically for undergraduate, postgraduate, and research scholars in the biological, ecological, and medical sciences. This book provides a comprehensive and user-friendly guide to statistical techniques, enabling students to derive accurate and logical results from their research. The contents are tailored to address the needs of both general and specialized audiences with methods that are applicable across multiple disciplines. Structured to align with university curricula, the book's chapters are logically sequenced, making it easy for readers to follow along. The provided examples are rooted in ecological and biological concepts, spanning a variety of statistical techniques. The unique features of this book make it a valuable resource for anyone keen to enhance their understanding of statistical methods and their applications in biology, ecology, and medicine, thus helping scholars conduct their research more effectively.
Key Features
| Features | Description |
|---|---|
| Target Audience | Undergraduate, postgraduate, and research scholars in biological, ecological, and medical sciences. |
| User-Friendly Guide | Comprehensive explanations of statistical techniques accessible to both general and specialized readers. |
| Curriculum Alignment | Structured chapters that follow the logical sequence of various university curricula. |
| Diverse Examples | Examples based on ecological and biological concepts to illustrate statistical methods and techniques. |
| Comprehensive Coverage | Covers a wide range of statistical topics from descriptive statistics to inferential statistics. |
| Attributes | Description |
|---|---|
| Author | Ekwal Imam |
| Format | Hardback |
| Field | Biology, Ecology, and Medicine |
| Edition | Latest Edition |
| Chapters | Includes 12 specific chapters on vital statistical concepts. |
| Purpose | To enable students to obtain accurate and logical research results. |
| ISBN | Available upon inquiry. |
Key Words
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"This reference book is intended for undergraduate, postgraduate, and research scholars in the fields of biological, ecological, and medical sciences. Its purpose is to offer a comprehensive and user-friendly guide to statistical techniques, which will enable students to obtain accurate and logical results from their studies. The methods described in this book are applicable across disciplines, but have been tailored to be accessible to general readers as well as specialized audiences.
The book is structured in a way that aligns with the curriculum of various universities, and its chapters have been organized in a logical sequence. The examples provided in this book are based on ecological and biological concepts, and offer sufficient material to cover a range of statistical techniques.
Overall, this book serves as a valuable resource for anyone seeking to improve their understanding of statistical techniques and their application in the fields of biology, ecology, and medicine.
"
"This reference book is intended for undergraduate, postgraduate, and research scholars in the fields of biological, ecological, and medical sciences. Its purpose is to offer a comprehensive and user-friendly guide to statistical techniques, which will enable students to obtain accurate and logical results from their studies. The methods described in this book are applicable across disciplines, but have been tailored to be accessible to general readers as well as specialized audiences.
The book is structured in a way that aligns with the curriculum of various universities, and its chapters have been organized in a logical sequence. The examples provided in this book are based on ecological and biological concepts, and offer sufficient material to cover a range of statistical techniques.
Overall, this book serves as a valuable resource for anyone seeking to improve their understanding of statistical techniques and their application in the fields of biology, ecology, and medicine.
"
Content
"1. Introduction to Statistics 2. Organisation of Data 3. Data Transformation 4. Descriptive Statistics: Measurement of Central Tendency 5. Descriptive Statistics: Measures of Dispersion 6. Descriptive Statistics: Data Distributions 7. Inferential Statistics: Confidence Intervals 8 Inferential Statistics: Parametric Tests of Significance 9 Inferential Statistics: Non-Parametric Tests of Significance 10 Inferential Statistics: Correlation and Regression 11 Presentation of Data 12 Choosing A Statistical Test
"
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