Statistics for the Life Sciences 5th Edition by Myra L Samuels (Author)

Publisher: STATISTICS

Availability: In Stock
SKU: 31427
Number of Pages: 648

Rs.1,310.00

Rs.1,695.00

Tags: analysis of covariance , analysis of variance , ANCOVA , Andrew A Schaffner , Andrew Schaffner , ANOVA , biological experiments , biostatistics foundations , case studies in biology , categorical predictors , control groups , correlation analysis , covariates , experimental design principles , factor analysis , general linear model , GLM , group comparisons , health sciences statistics , hierarchical linear modeling , Jeffrey A Witmer , Jeffrey Witmer , linear models , logistic regression , medicine statistics , multivariate regression , Myra L Samuels , Myra Samuels , nonparametric tests , predictive modeling , randomization , regression coefficients , regression modeling , Russell T. Warne , sample size determination , SEM , social science education , social science research , social science statistics , social science textbooks , statistical applications , statistical education , statistical modeling , statistical textbooks , Statistics for the Life Sciences , Statistics for the Life Sciences 5th Edition , structural equation modeling , survival analysis , t-tests

Description
Reviews

Description

Statistics for the Life Sciences (5th Edition)
Authors: Myra L. Samuels, Jeffrey A. Witmer, Andrew A. Schaffner

Introduction
Statistics for the Life Sciences (5th Edition) is a comprehensive guide tailored for students and professionals in biology, medicine, and health sciences. This book provides a solid foundation in statistical concepts and their practical applications in life sciences research. With a focus on real-world data and examples, it simplifies complex statistical methods, making them accessible to those with minimal mathematical background.

Key Points

1. Fundamentals of Biostatistics

Covers essential statistical principles such as probability, distributions, and sampling techniques.
Provides a clear introduction to descriptive and inferential statistics.

2. Statistical Methods for Life Sciences

Explains hypothesis testing, confidence intervals, and regression analysis.
Demonstrates the application of statistical tests in biological and medical research.

3. Real-World Data Applications

Uses case studies and examples from genetics, ecology, and clinical studies.
Shows how statistical reasoning helps solve real-world scientific problems.

4. Modern Data Analysis Techniques

Covers ANOVA, chi-square tests, and nonparametric methods.
Introduces statistical software tools used in data analysis.

5. Clarity and Accessibility

Designed for students with limited mathematical background.
Includes step-by-step explanations, exercises, and visual aids to enhance learning.

Why Read This Book?

Essential for biology, medicine, and health science students who need a strong statistical foundation.
Provides real-world examples to demonstrate the relevance of statistics in life sciences.
Balances theoretical concepts with practical applications.
Uses clear language and engaging explanations to make statistics approachable.

Conclusion
Statistics for the Life Sciences (5th Edition) is a must-read for students and researchers in biological and medical sciences. It simplifies statistical concepts, making them accessible and applicable to real-world problems, ensuring a strong foundation in data analysis for scientific research.

Reviews