Statistical Hypothesis Testing with SAS and R

Discover the essential guide to statistical hypothesis testing with "Statistical Hypothesis Testing with SAS and R," authored by **John Wiley & Sons Inc**. Published in 2014, this comprehensive hardback edition spans **312 pages**, offering an invaluable resource for researchers and data analysts alike.

This book serves as a detailed reference for statistical tests, highlighting their practical application in data analysis using the powerful tools of SAS and R. It presents an insightful overview of statistical test theory, followed by thorough descriptions of each test, addressing crucial prerequisites, underlying assumptions, and formal test problems. Whether you're a seasoned statistician or a newcomer to the field, this guide equips you with the knowledge to effectively navigate the complexities of hypothesis testing.

Enhance your analytical skills and advance your understanding of statistical methods with this indispensable resource on hypothesis testing.