Statistics, Mathematical Statistics, and SAS Programming
Reference documents in Statistics, Mathematical Statistics, and SAS Programming.
Documents in Statistics, Mathematical Statistics, and SAS Programming
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This book provides conceptual information about SAS software along with step-by-step examples that illustrate the concepts. It answers every question that a new or intermediate SAS® user might have. Every page has learning opportunities. Examples are thorough, readable, and clear for SAS® programmers.
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This book has been developed for a one-semester course usually attended by students in statistics, economics, business, engineering, and quantitative social sciences. A unique feature of this edition is its integration with the statistical software package SAS (Statistical Analysis System) computing environment.
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This book offers a comprehensive guide to learning statistical inference with data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for data visualization, and the dplyr package for data wrangling.
