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ASA-CRC Series on Statistical Reasoning in Science and Society


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Statistics and Health Care Fraud: How to Save Billions

Statistics and Health Care Fraud: How to Save Billions

1st Edition

Forthcoming

Tahir Ekin
March 01, 2019

Statistics and Health Care Fraud: How to Save Billions helps the public to become more informed citizens through discussions of real world health care examples and fraud assessment applications. The author presents statistical and analytical methods used in health care fraud audits without...

Improving Your NCAA® Bracket with Statistics

Improving Your NCAA® Bracket with Statistics

1st Edition

Forthcoming

William Thomas Adams
January 07, 2019

The NCAA(R) Men's Division I Basketball Championship takes place each spring in the United States. Bracket pools based on this tournament have become a popular pasttime. A bracket involves the participant predicting the outcome of each game in the tournament, and those predictions are compared...

Data Visualization: Charts, Maps, and Interactive Graphics

Data Visualization: Charts, Maps, and Interactive Graphics

1st Edition

Forthcoming

Robert Grant
November 06, 2018

This is the age of data. There are more innovations and more opportunities for interesting work with data than ever before, but there is also an overwhelming amount of quantitative information being published every day. Data visualisation has become big business, because communication is the...

Visualizing Baseball

Visualizing Baseball

1st Edition

Jim Albert
August 17, 2017

Visualizing Baseball provides a visual exploration of the game of baseball. Graphical displays are used to show how measures of performance, at the team level and the individual level, have changed over the history of baseball. Graphs of career trajectories are helpful for understanding the...

Errors, Blunders, and Lies: How to Tell the Difference

Errors, Blunders, and Lies: How to Tell the Difference

1st Edition

David S. Salsburg
April 19, 2017

We live in a world that is not quite "right." The central tenet of statistical inquiry is that Observation = Truth + Error because even the most careful of scientific investigations have always been bedeviled by uncertainty. Our attempts to measure things are plagued with small errors. Our attempts...

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