Statistics for the Life Sciences 5th Edition by Myra Samuels

Publisher: LIFE SCIENCES

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

Rs.1,260.00

Rs.1,695.00

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Description

Statistics for the Life Sciences, 5th Edition by Myra Samuels, Jeffrey Witmer, and Andrew Schaffner is a comprehensive textbook tailored to the statistical needs of life science students and researchers. This edition provides a thorough introduction to statistical concepts and methods relevant to biological and health sciences. It covers essential topics such as experimental design, data analysis, probability, hypothesis testing, and regression analysis, offering practical insights and examples specific to life science applications.

Key Points:

Biostatistics Foundations: Introduces foundational concepts in biostatistics, including data collection, summarization, and graphical representation.
Statistical Methods: Covers a wide range of statistical methods used in life sciences, such as t-tests, analysis of variance (ANOVA), nonparametric tests, and correlation analysis.
Experimental Design: Discusses principles of experimental design, randomization, control groups, and sample size determination in the context of biological experiments.
Regression and Modeling: Explores regression analysis, including linear and nonlinear models, logistic regression, and survival analysis as applied to life science data.
Case Studies and Applications: Includes case studies and real-life examples from biology, medicine, and health sciences to illustrate the application of statistical techniques.

Conclusion: Statistics for the Life Sciences, 5th Edition by Myra Samuels, Jeffrey Witmer, and Andrew Schaffner is an essential resource for life science students and researchers seeking to develop proficiency in statistical analysis. With its practical approach, comprehensive coverage, and emphasis on real-world applications, this textbook prepares readers to apply statistical methods effectively in biological research and data interpretation.

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Writer ✤ Myra Samuels, Jeffrey Witmer, Andrew Schaffner

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