Visit our Statistics - Finding and Using library guide for more database suggestions, websites, and books about statistics in a variety of disciplines.
A dynamic tool to scan and search the contents of billions of datasets from the United States. Compare and contrast variables of interest and create customized views in tables, maps, rankings, and charts. Views also include descriptive summaries of the datasets and data sources.
Datasets cover a wide range of subjects – including business, finance, banking, economics, sociology, political science, demography, agriculture, education, international studies, criminal justice, housing and construction, labor and employment, energy resources and industries, and more. Sources include public, private/commercial, and nongovernmental organizations, as well as Woods & Poole Economics, Inc.
NIST is an agency of the U.S. Department of Commerce. The goal of this handbook is to help scientists and engineers incorporate statistical methods in their work as efficiently as possible.
This book presents a concise and focused introduction to engineering statistics, emphasizing topics and concepts that a practicing engineer is mostly likely to use: the display of data, confidence intervals, hypothesis testing, fitting straight lines to data, and designing experiments to find the impact of process changes on a system or its output.
This handbook gathers the full range of statistical techniques and tools required by engineers, analysts and scientists from all fields. The book is a comprehensive place to look for methods and solutions to practical problems within - but not limited to - data science, quality assurance in design and production engineering.
Newly revised to specifically address Microsoft Excel 2019, this book shows the capabilities of Excel in teaching engineering statistics effectively. Similar to the previously published Excel 2016 for Engineering Statistics, this volume is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical engineering problems.
Engineering Statistics: An Introduction by 
Springer Handbook of Engineering Statistics by 
Excel 2019 for engineering statistics : a guide to solving practical problems by 
