Instructs readers on how to use methods of statistics and experimental design with R software, covering both theory and application. Applied statistics delves into modern statistical and mathematical modeling techniques used in industry, public services, commerce, and research, focusing on practical problem-solving skills rather than deep theoretical exploration. The book includes chapters on R package sampling procedures, analysis of variance, point estimation, Generalised Linear Models, and Spatial Statistics. It offers a pre-experimental as well as post-experimental approach to applied statistics, making it accessible for readers to tackle new and non-standard problems confidently.