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Discover comprehensive guidance on parametric and nonparametric statistics with this essential handbook. Ideal for students, researchers, and professionals, it clarifies complex statistical methods for effective data analysis. Learn to choose appropriate tests and interpret results accurately, enhancing your understanding of statistical hypothesis testing for various applications.

Explore the foundational principles of modern nonparametric statistics with this comprehensive introduction, offering robust methods for data analysis when traditional parametric assumptions are not met. Discover essential techniques and tools for effective statistical inference, crucial for contemporary research and practical applications across various fields.