This book enables statisticians, researchers, and new students to learn from the set of examples so that they can perform their own analyses and produce and understand the output. Topics covered include developing and interpreting control charts, using graphical methodsto display factors that may affect a process, and using an automated system to construct and analyze screening designs. In Volume 1, chapters 1 through 8 give an overview of different types of analytical procedures. The authors' unique approach to integrating statistical methods, data analysis, and applications of SAS software will aid professors, researchers, and students in a variety of disciplines and industries. The extensive SAS code and corresponding output accompany sample problems and clear explanations of the appropriate SAS procedures.
Emphasis is on correct interpretation of the output to draw meaningful conclusions.
Featuring both theory and the practical, topics covered include multivariate analysis of experimental data and repeated measures data, graphical representation of data including biplots, and multivariate regression. This Course Notes introduces fundamental statistical concepts using graphical tools and a variety of business decision-making examples. This Course Notes covers a range of statistical topics and the use of SAS software to carry out statistical analyses. Topics include statistical inference, analysis of variance, multiple regression, and categorical data analysis. Written in a manner which leads the nonstatistician through each test by example, substantive details are presented which will benefit even the experienced data analysts.