Applied Statistics Using Stat

Introducion to Descriptive and Inferential Statistics using the Minitab software

This book establishes the theoretical foundations of a general methodology for multiple hypothesis testing and discusses its software implementation in R and SAS. The methods are applied to a range of testing problems in biomedical and genomic research, including the identification of differentially expressed and co-expressed genes in high-throughput gene expression experiments, such as microarray experiments; tests of association between gene expression measures and biological annotation metadata (e.g., Gene Ontology); sequence analysis; and the genetic mapping of complex traits using single nucleotide polymorphisms.

This collection covers all fields of mathematics, a must-have for the aspiring maths students and scholars alike.

SAS is a command-driven statistical software suite widely used for statistical data analysis and visualization. It allows you to use qualitative techniques and processes which help you to enhance employee productivity and business profits. SAS is also used for advanced analytics like business intelligence, crime investigation, and predictive analysis.